Seattle

Leverage your legal acumen to help Amazon protect our customers and selling partners against fraud and abuse! We are looking for a talented, tech-savvy attorney to serve as lead counsel supporting the Selling Partner Trust and Store Integrity team within Customer Trust. TSI's vision is that bad actors cannot operate in our store while selling partners start and grow their business without fear of disruption, such that customers and selling partners across the globe trust us, and have confidence in the integrity of Amazon’s store.Key job responsibilitiesAs counsel for the TSI business, you will:- Directly advise the leadership team and influencing the direction of the business.- Advise on a broad range of product, commercial, and regulatory matters, such as ensuring compliance with state and federal regulations, leading implementation for new regulations, considering legal issues of first impression, and supporting strategic business relationships- Support the development of AI and other science techniques to protect Amazon's store at scale- Advise on pre-litigation legal disputes and manage outside counsel handling arbitrations- Work cross-functionally, particularly with our law enforcement and litigation teams, to hold bad actors accountable through referrals and proactive litigation- Positively impact the livelihood of all sellers in Amazon's store by protecting them from abuse and helping them navigate compliance- Help drive strategic initiatives to support our external engagement pillars on how Amazon protects our store, including working cross-functionally to contribute proactive legal and legislative initiativesAbout the teamYou will be part of the Legal team within NA Stores Legal that supports Amazon's Selling Partner Services business, the worldwide team that enables third-party sellers to sell products through Amazon.- 5+ years of legal experience- Juris Doctor and membership in one state bar or equivalent- Experience of a mix of corporate law firm and in-house work- Experience managing multiple projects and meeting aggressive deadlines- Experience working closely with and advising senior executives of an organization or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,500/year in our lowest geographic market up to $229,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Work hard. Have fun. Make history.Amazon is a leader in global e-commerce. Our innovative technologies change the way people find, discover, and buy products and services. Lawyers at Amazon are trusted members of the business. Our work is intellectually challenging, exciting, and fast-paced. Developing innovative solutions to novel legal questions is part of our daily business. We’re looking for a talented lawyer to support Amazon Prime Air, our ground-breaking drone delivery business. Prime Air is growing a safe, automated system that will deliver packages to our customers in 30 minutes or less by drone. You’ll be embedded with the Prime Air team, partnering directly with business leaders as they grow and refine our drone service to delight our customers. You’ll serve as legal counsel on diverse commercial, transactional, and regulatory matters for Prime Air, developing strategies for handling legal issues in creative, business-centric ways and building processes that address risk while allowing the business the flexibility and freedom to move quickly. To be successful in this position, you must be inquisitive, enjoy being continually challenged, and demonstrate sound judgment even in ambiguous situations.This position will be based in Seattle, WA or Arlington, VA. Some travel may be required.- 5+ years of legal experience- Juris Doctor and membership in one state bar or equivalent- Experience of a mix of corporate law firm and in-house work- Experience working with transactional and/or regulatory matters- Experience working in the aviation and/or logistics sectors- Familiarity with aircraft operating rules and/or certification requirements- STEM background or demonstrated ability to quickly learn new technologyAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,500/year in our lowest geographic market up to $229,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon's Legal Department is looking for a talented commercial real estate lawyer to fill the position of Corporate Counsel – Real Estate supporting Amazon Web Services (AWS), a dynamic and rapidly growing business within Amazon.com. AWS is at the forefront of the "cloud" computing and service industry, providing IT infrastructure services such as on-demand compute capacity, storage, content delivery, database services, and more.As part of the AWS real estate legal team, you will be responsible for supporting AWS's worldwide data center expansion through land acquisitions and leasing. You will have transactional drafting and negotiating responsibilities on deals, and will provide legal counsel and contract interpretation to business team members on a daily basis. Transactions range from standard contracts to complex, bespoke, high value agreements. You will structure, draft and negotiate agreements, help support AWS real estate’s existing portfolio, manage outside counsel, and advise internal business clients. In addition, you will help develop, implement, and manage process improvements across the team, resolve legal issues that arise in existing commercial relationships, and handle pre-litigation legal disputes and inquiries.The successful candidate must be enthusiastic, enjoy working hard and being challenged, and demonstrate sound judgment even in ambiguous situations. Competitive salary based on experience and includes equity compensation.- 5+ years of legal experience- Juris Doctor and membership in one state bar or equivalent- Experience drafting and negotiating a variety of real estate transactional documents (i.e. leases, lease amendments, purchase and sale agreements, easements, development agreements, co-ownership agreements etc.)- Experience of a mix of corporate law firm and in-house work- Ability to work both independently and as part of a cross-functional team- Strong analytical, written and oral communication, and client interaction skills- Strong organizational and project management skillsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,500/year in our lowest geographic market up to $229,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Would you like to help software companies (ISVs), startups, and small businesses accelerate and maximize their success using the cloud? Amazon Web Services (AWS) is on a hunt for a Customer Acquisition Marketing Leader to lead the team that will shape the future of how AWS connects with key customer segments.In this role, as the single-threaded marketing leader for the 'customer acquisition engine', you'll lead a team that builds out a new marketing engine which digitally engages zero-billing and low-billing accounts to a threshold where AWS sales teams and partner sales teams can prospect and grow the account. This is a new function you'll build out through close collaboration with executive leadership across marketing, sales, partner, finance, and sales operations organizations.You must have experience influencing at executive level to create and manage a new marketing function. You should also have experience with developing marketing programs / campaigns that drive efficient acquisition, increase retention, increase life-time values, all falling within a sustainable cost-of-acquisition. You will be an iconic collaborator who has a proven track record of landing customer-obsessed marketing campaigns that operate within a data-driven performance marketing return-on-investment framework.Key job responsibilities• Collaborate with worldwide leaders in a matrixed organization to build out a marketing-led customer acquisition engine that generates leads, converts to first-time adoptions, and lands-expands to new services. • In partnership with sales and partner organizations, define lead-routing pathways and influence AWS-wide teams to build out systems to get the right lead to the right seller, at the right time. Manage customer-acquisition economics and resulting budgets to deliver a sustainable return on marketing investments. • Be an iconic partner to GEO teams across field marketing, partner marketing, partner management, and sales, to ensure OneTeam delivers on 3 years business plan goals. • Be an iconic partner to mar-tech teams to influence roadmaps and build out the mar-tech platform to support at-scale new customer acquisition. • Be a world-class leader of your team (direct and extended) to ensure they deliver results and catalyze their own careers in doing so.About the teamABOUT AWS:Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. - 8+ years of professional non-internship marketing experience- Experience using data and metrics to drive improvements- Experience communicating results to senior leadership- Experience building, executing and scaling cross-functional marketing programs- Experience driving direction and alignment with cross-functional teams- Experience working cross-functionally and driving decision making among stakeholders with competing goals- Experience with various types of research methodologies is key, including quant, qual, 1P & 3P data, trend analysis & forecasting, etc.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $127,600/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Apple Information Security (AIS) develops services, systems, and tools that proactively mitigate security risks faced by Apple and our customers. Security is woven into the fabric of everything we do. We empower teams across the company, ensuring they innovate and create with security and privacy as a priority. AIS accomplishes this mission by leveraging data to drive security outcomes, pioneering security best practices and protocols, and enabling Apple and our partners to think about security holistically. As a result, we safeguard our business partners data and retain their trust. Part of this role is conceptualizing appropriate distribution and feedback loops. The Customer Insight Specialist is responsible for understanding and engaging the customers of Apple Information Security’s tools and services. Their duties include soliciting customer feedback in different ways, and distilling it into actionable suggestions back to the business to improve service maturity. They will stand up a formal UAT program to ensure that we are building is what customers want and need. Part of this role is hands on work with customers, part is understanding the capability of tooling and what is possible to build. This person will be a champion for the customer in internal meetings coming from a researched and informed perspective. We are looking for someone who can build relationships and formalize feedback programs to ensure that customer feedback is surfaced and acted on. This position will create these new programs from the ground up, building both customer and engineering partnerships. You'll collaborate closely with customers, technical and business leadership, and communities around Apple that use security tools and services. You’ll be a champion of the security tools catalog and take ownership of making it the best it can be. You will wholly own UAT and the documents/artifacts that distill findings and themes. This role requires intuitive, focused attention to customers, strong interpersonal skills, technology acumen, and solution-driven cross-functional communication. The Customer insight specialist will seek to deeply understand customer approaches to development and relentlessly pursue more insight into how security can help developers meet security goals quickly and completely. This role is critical in ensuring security tools consistently meet the changing demands of the technology landscape. ...

Global Services brings together experts and capabilities across Training and Certification, Professional Services, Support and Managed Services, Global Services Security, and our global community of over AWS Partners to help organizations across every industry move faster and do more with AWS. Product Marketing is responsible for developing crisp, highly differentiated positioning and messaging for AWS and its services. We tell AWS’s most important and interesting stories to educate customers about what is possible with AWS Cloud. We are seeking a Customer Reference Manager to help us tell AWS’s most important and interesting stories to educate customers about what is possible working with Global Services offerings.As the Global Services Customer Reference Manager, you will be responsible for developing and delivering customer references and content. You will have a firm understanding of our audiences and identify success stories which demonstrate how AWS customers at different phases of their journey with AWS use Global Services to transform their businesses. A key focus of this role will be around creating customer-facing reference materials and content, including case studies, presentations, and videos. Content will be geared toward story-telling through use cases and the business outcomes. You will need to look at this through multiple lens keeping in mind the targeted personas based on the stage they are at in their journey. This is a hands-on position that is perfect for a skilled marketer who enjoys developing, curating, and advising customer reference programs and content. The ideal candidate will have experience executing customer reference content, program management skills, and excellent interpersonal and written communication skills. Join our dynamic, fast-growing team and help us stories of how we’re helping customers achieve business outcomes and success.Key job responsibilitiesIdentify customer success stories and cultivate references across a variety of customers/personas.Develop relevant, technically accurate reference assets and marketing materials in a variety of content mediums (case studies, presentations, videos).Produce materials that clearly communicate value proposition and aligns with our brand.Edit all customer references content to ensure proper AWS messaging, tone, and voice.Ensure all customer references content and copy developed by internal writers, freelancers, or third-party agencies maintains consistency in voice, messaging, accuracy, and meets our high standards.Evaluate, measure and report on strategic effectiveness and ROI for overall program efforts.Work effectively across teams within marketing, product, and sales to achieve joint business goals.Manage multiple priorities as an independent, self-starter with excellent time management within a rapidly evolving business.A day in the lifeThe Global Services product marketing team works on creating compelling positioning, messaging, and content to support launches and campaigns that drive awareness, preference, and adoption of people services and technology. We all have a bias for action for developing awesome marketing assets (e.g., messaging, success stories, blogs, presentations, videos, collateral, enablement resources). We all work together and pick each other up when workloads shift. This helps us manage time and juggle multiple priorities to execute high-quality deliverables. We enjoy supporting a fast-paced, collaborative, and highly cross-functional organization.About the teamDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.- 4+ years of professional non-internship marketing experience- Experience using data and metrics to measure impact and determine improvements- Experience using Microsoft Excel to manipulate and analyze data- Experience building, executing and scaling cross-functional marketing programs- Experience managing budgets- Experience managing external partners to develop marketing programsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $72,600/year in our lowest geographic market up to $155,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

This role is located in one of our approved office locations in Seattle, WA.Want to own the tactical implementation of plans and projects that create an immediate impact on customers and businesses?As a Customer Success Manager with BEATS-Amazon Vendor Services, you will work with Amazon’s top vendor partners, influencing processes and plans across their businesses on Amazon.com and improving end-customer experience. You will provide data driven strategic insights and ensure high operational standards. Your personal engagement, relationship building, and analytical skills are key to developing a trusted advisory relationship to guide and influence vendors to achieve their strategic and tactical goals.Amazon Vendor Services Team works with Vendors who sell products such as:BEATS (Business, Electronics, Automotive, Technology, Solutions) – Business Solutions, Auto, Camera, Office, Wireless, PC & Software Our goals include providing the best vendor experience, a rewarding Customer Success Manager experience, and ultimately to enhance the experience of our end customers. You will collaborate with a team of 6-10 Customer Success Managers to innovate, continuously improve, learn, and grow for the benefit of both vendors and Amazon’s millions of customers.The teams are supportive, engage regularly for fun events, and encourage each other in continuous improvement. Customer Success Managers have a clear path to roles across Amazon, including a direct path to Senior CSM within our team. We work hard to ensure your individual professional growth.Daily Roles and Responsibilities: Act as the primary point of contact and as the internal advocate for vendor issues, questions, requests, escalations, and concerns Identify, advise, and execute strategic vendor priorities across marketing, merchandising, and supply chain management Interface with multiple portals to develop product messaging on Amazon.com, monitor catalog inventory positions, and track sales performance Analyze data from multiple sources and present recommendations to vendors on trends and opportunities Provide support and strategic business recommendations while working with internal teams to ensure operational performance Develop and deliver reports to vendors specific to their needs and strategic growth goals Educate vendors on tools, policies, processes, and relevant growth opportunities through Amazon programs and products Pitch promotional opportunities to help vendors drive revenue growth to meet their YoY goals Engage multiple internal stakeholders to problem solve, surface defects, extract and analyze data, and drive continuous improvement for your vendors and the organization Identify, solve, and scale process improvements across the team and broader organization Manage challenging account goals, issues, and projects3+ years of professional experience in client or vendor facing roles with a focus in relationship management and negotiation skillsExperience analyzing data and best practices to assess performance driversBachelor's DegreeData analysis experience including manipulating large datasets from complex systems and interpreting resultsExperience developing and implementing strategiesExperience influencing stakeholdersProficient in ExcelTime management, prioritization, and problem-solving skillsStrong written and verbal communication skillsExperience rapidly adapting to change and dealing with ambiguityMaster’s Degree, or equivalent5+ years of experience in account management, sales, marketing or buying5+ years in related industries, such as retail, hospitality, technology, consumer electronics, home goods, recreational goods, scientific products, industrial products, or telecomExperience with analytical & productivity tools including or similar to: Tableau, Salesforce, Microsoft OneNote, SharePoint, and Oracle Business IntelligenceE-commerce experienceData analysis experienceProven ability to learn tools and processes then effectively use them to provide serviceManage multiple projects and priorities in a fast-pace, deadline-focused environmentProven track-record of taking ownership and driving resultsStrong attention to detailExcellent problem-solving skillsComfortable working in a diverse group and contributing to an inclusive cultureAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $52,400/year in our lowest geographic market up to $112,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Join Amazon’s Tax Team as a Data Analyst for LATAM compliance.Are you a dynamic Business Analyst with a passion for tax technology? Are you proficient with Data Analysis tools such as SQL? Amazon's Global Tax Services Team is seeking an enthusiastic individual eager to navigate new territories, learn rapidly, and handle confidential information with the utmost integrity.You're the ideal fit if you possess a blend of data proficiency, solution design skills, and a solid grasp of tax or accounting principles. Your ability to make informed judgments and adapt in a fast-paced environment sets you apart. As a self-starter, you excel in driving initiatives and thrive in a results-driven setting.Key job responsibilitiesIn this role, you'll have a diverse range of responsibilities, including:- Design and Delivery: Contribute to the design and implementation of scalable tax technology solutions. - Data Analysis: Conduct in-depth research and analysis of tax reporting data for specific tax jurisdictions, addressing data quality issues, and defining functional requirements for technical development.- Process Improvement: Collaborate with tax teams to enhance efficiency and controller-ship in current processes, educating them on data acquisition for reporting, planning, and controller-ship.- Collaboration: Work closely with cross-functional teams, fostering relationships with the tax, business and engineering teams across Amazon.- Metrics Development: Support the creation of new metrics to quantify the value of various aspects of tax data.- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience with SQL- Experience making business recommendations and influencing stakeholders- Experience in business or financial analysis- Proficiency in written communication and ability to produce high-caliber documentationAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $66,900/year in our lowest geographic market up to $143,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

We are looking for an experienced Full Stack Data Engineer and Developer with AI and automation background in Amazon Trustworthy Shopping Experience (TSE) Org. You will play a crucial role in designing, developing, and maintaining centralized data products, AI features and advanced self-serve tools. These are integral to transforming raw data into actionable intelligence through advanced data engineering, business intelligence, and GenAI techniques. You will work closely with product managers, data engineers, BIEs, machine learning scientists, and operations teams to ensure the platform meets the evolving needs of our business users. This is a hands-on position where you will be involved in everything from designing and building highly scalable components and cutting-edge features to formulating strategies and directions for data and ML products. You need to be not only an exceptional software developer focusing on the data space with excellent programming skills but also have a strong background in AI/ML, an understanding of data processing and parallelization, and a proven record of delivery. Additionally, you should excel in leadership, customer obsession, and have a real passion for massive-scale computing.Key job responsibilities* Design and implement scalable and secure components of centralized data portal, ensuring high performance and reliability* Integrate real-time data with other services for workflow automation* Collaborate with team to create intuitive UI and user experiences that facilitate seamless data exploration, interaction and automation* Keeping your finger on the pulse of the constantly evolving and growing data processing and data lake field* Stay updated with emerging technologies, AI advancements, and industry best practices related to data engineering and AI-driven Business Intelligence solutions* Conduct scalability and performance testing to ensure the data portal can handle large volumes of data and concurrent user interactions efficiently* Integrate the data portal with external systems, APIs, and data sources to facilitate seamless data ingestion, transformation, and integration.* Delivering systems and features with top-notch quality, on timeAbout the teamCADE (Centralized Analytics and Data Engineering) in Trustworthy Shopping Experience brings together best practices, BI technology, data innovation and science to drive the overall POE and TSE data metrics, infrastructure, data products, AI solutions, and automated insights for our customers. - 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon’s Selling Partner Insights and Analytics (SPIA) organization is seeking an experienced Data Engineer (DE) who will be a key contributor in architecting and building data platforms that directly impact sellers experience on Amazon. If you are a self-starter, someone who thrives in a fast-paced and ever-changing environment, with an uncanny knack and passion for developing data intensive applications, then you are the right candidate for our team. Join us at the Central analytics Team of Amazon's Selling Partner (SP) Support Org and become part of a global team that is redefining the future of e-commerce. With access to vast amounts of data, cutting-edge technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way sellers engage with our platform and customers worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerceKey job responsibilitiesAs a Data Engineer, you will be working in one of growing and challenging spaces of Selling Partner (SP) Support Org. You will design, implement and support scalable data infrastructure solutions to integrate diverse data sources, aggregate, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be working on cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You will be pivotal in designing scalable architecture for building robust applications and pipelines. You stay abreast of emerging technologies, investigating and implementing where appropriate. A day in the lifeA day in the life of Data Engineer is equally interesting and challenging. The interesting part is learning about business, ever expanding databases and codebases, internal tech stack for builders, AWS and many more. The challenging part of a data engineer's life is to apply these learnings in building robust and reliable data applications. A DE will be involved in driving both business and technical related discussions and making several key decisions contributing to the success of Selling Partner Operations and Business teams. About the teamSelling Partner Insights and Analytics team's (SPIA) vision is to provide data and insights to accelerate stakeholder’s data-driven decisions. Our mission is to make it easier and faster for our internal customers to use analytics to shorten the path from data to insights- 4+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Knowledge of distributed systems as it pertains to data storage and computing- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data setsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Connections is an innovative, research-driven science program and tech that gives Amazonians globally an effective way to provide feedback on the workplace and help shape the future of the company. Connections asks employees quick questions every day and uses that real-time information to learn from their experiences, introduce targeted content, and measure specific outcomes. Our goal is to strengthen Amazon’s workplace culture and develop leaders who earn trust, remove obstacles, and make Amazon an inspiring place to work.The Connections team combines the culture of a startup, the innovation and creativity of a R&D lab, and technical challenges at the scale of Amazon. We expect TPMs, engineers, and management alike to take a high-level of ownership for the product vision, technical architecture, and project delivery. Successful candidates will be high-bandwidth leaders who can cut through the noise, simplify relentlessly, deliver results, and help build great teams around themselves.As a Data Engineer, you will be responsible for designing and implementing data solutions using Amazon's cloud technologies. The ideal candidate excels at working with AWS ETL tools and is comfortable accessing and manipulating big data from multiple sources. You should passionately partner with business teams to identify strategic opportunities and deliver results. We're looking for someone with a strong drive to answer "why?" questions, excellent analytical abilities, and strong technical skills. Good written and verbal communication skills are essential. We're seeking a self-starter who is comfortable with ambiguity, able to think big while paying careful attention to detail, and thrives in a fast-paced, dynamic environment.Key job responsibilities- Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.- Contribute to the architecture and implementation of next generation data solutions from the ground up.- Manage AWS resources including S3, Athena, Batch, lambda etc.- Optimize automated processes for performance and fault tolerance.- Optimize support for ad-hoc analysis across various data sources- Collaborate with BI Engineers, Software Engineers, and cross-functionally to deliver high quality data architecture and pipelines.- Make large and/or complex data more accessible, understandable and usable by applications and teams.A day in the lifeAs a Data Engineer, you will provide technical leadership, lead data engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You strive for simplicity, demonstrate creativity and sound judgement. You deliver data solutions that are customer focused, easy to consume and create business impact. You have a strategic and long term view on architecting advanced data eco systems. You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications.- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

AWS Hardware Engineering is looking for an experienced, innovative Data Engineer to join their Data Science and Analytics team. You will be part of a group of talented engineers and scientists that builds data products and services to turn hardware monitoring data into insights using advanced analytics and machine learning.As a Data Engineer, you will provide technical leadership, lead data engineering initiatives, and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You strive for simplicity, demonstrate creativity and sound judgement. You deliver data solutions that are customer focused, easy to consume and create business impact.You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long-term view on architecting advanced data ecosystem. You are experienced in building efficient and scalable data services and can integrate data systems with AWS tools and services to support a variety of customer use cases/applications.In this role, you can:Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools.Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.Collaborate with scientists to create fast and efficient algorithms that exploit our rich data sets for optimization, statistical analysis, prediction, clustering, and machine learning.Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.This role falls within the broader AWS Infrastructure Services (AIS) organization, which owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Amazon Web Services (AWS) is committed to a diverse and inclusive workplace to deliver the best results for our customers. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting please 2+ years of data engineering experience- A Bachelor's degree in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering) or equivalent industry experience- 2+ years of experience with demonstrated strength in ETL/ELT, data modeling, data warehouse technical architecture, infrastructure components and reporting/analytic tools- 2+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets.- 2+ years of experience in scripting languages like Python etc.- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

AWS Hardware Engineering is looking for an experienced, innovative Data Engineer to join their Data Science and Analytics team. You will be part of a group of talented engineers and scientists that builds data products and services to turn hardware monitoring data into insights using advanced analytics and machine learning.As a Data Engineer, you will provide technical leadership, lead data engineering initiatives, and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You strive for simplicity, demonstrate creativity and sound judgement. You deliver data solutions that are customer focused, easy to consume and create business impact.You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long-term view on architecting advanced data ecosystem. You are experienced in building efficient and scalable data services and can integrate data systems with AWS tools and services to support a variety of customer use cases/applications.In this role, you can:Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools.Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.Collaborate with scientists to create fast and efficient algorithms that exploit our rich data sets for optimization, statistical analysis, prediction, clustering, and machine learning.Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.This role falls within the broader AWS Infrastructure Services (AIS) organization, which owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.About the teamAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.AWS values diverse experiences. Even if you do not meet all the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional.- A Bachelor's degree in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering) or equivalent industry experience- 3+ years of experience with demonstrated strength in ETL/ELT, data modeling, data warehouse technical architecture, infrastructure components and reporting/analytic tools- 3+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets.- 3+ years of experience in scripting languages like Python etc.- Experience with AWS services such as Redshift, Glue, S3, EMR, Kinesis and SNS/SQS.- Experience architecting data lake and cloud data warehouses.- Experience with big data technologies (Hadoop, Hive, Kafka, Spark, etc.)- Experience in leading and delivering end-to-end projects.- AWS certifications or other related professional technical certifications- Meets/exceeds Amazon’s leadership principles requirements for this role- Meets/exceeds Amazon’s functional/technical depth and complexity for this roleAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Amazon Publisher Monetization (APM) team is shaping the future of monetization for Amazon's advertising supported publishers (e.g., Freevee, Twitch, Onsite). Our mission is to build earth’s most customer-centric advertising services. The APM Analytics team is seeking an exceptional Data Engineer to join the team. If you are passionate about Big data technologies, build scalable real time analytical solutions, relentless in ensuring data quality and reliability, and feel comfortable communicating at different levels of leadership, you are the candidate we are looking for!This role requires deep expertise in the design, creation, management, and business use of large datasets, across a variety of data platforms. You should have excellent business and interpersonal skills to be able to work with business owners to understand data requirements, and to build ETL to ingest the data into the data lake. You should be an authority at crafting, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data lake. Above all, you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive growth.In this role, you will envision, design and develop data solutions to scale APM data. You will be responsible for designing and implementing scalable data/ETL pipelines leveraging big data technologies and modern BI products to effectively meet the rapidly growing and dynamic demands of rich data. You will help org move towards data as a service model to improve influence on day-to-day business decisions. You will influence and guide other data engineers, business intelligence engineers, tech team members and leaders to make informed data decisions. Key job responsibilities- Develop APM data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal Amazon tools (Datanet, Cradle, QuickSight etc.)- Improve existing solutions and come up with next generation APM Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security.- Develop new data models and end to end data pipelines.- Develop a deep understanding of our vast data sources and know exactly how, when, and which data to use to solve particular business problems.- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

We are seeking a talented and experienced Data Engineer II to join our Publisher Ad Server team. In this role, you will be responsible for designing, implementing, and maintaining data pipelines and infrastructure that support our ad serving platform. You'll work closely with cross-functional teams to ensure data accuracy, reliability, and scalability to meet the growing demands of our digital advertising ecosystem.Key Responsibilities:1) Design and develop robust, scalable data pipelines to ingest, process, and analyze large volumes of advertising data from multiple sources.2) Optimize existing data models and create new ones to support ad serving, reporting, and analytics requirements.3) Implement and maintain data quality checks and monitoring systems to ensure data integrity and reliability.4) Collaborate with data scientists, analysts, and product managers to deliver actionable insights and drive data-driven decision making.5) Develop and maintain ETL processes using modern data engineering tools and technologies.6) Optimize query performance and data storage to improve system efficiency and reduce costs.7) Implement data security and privacy measures to ensure compliance with industry regulations (e.g., GDPR, CCPA).8) Contribute to the development of data architecture standards and best practices within the team.9) Troubleshoot and resolve complex data-related issues in a timely manner.10) Stay up-to-date with emerging technologies and industry trends in data engineering and ad tech.About the teamPAS (Publisher Ad Server) builds and operates services that empower 1P publishers to improve monetization, enhance user experience, and reduce infrastructure costs. We bias toward industry standards and flexible designs that allow publishers to invent on top of our solutions and interoperate with other advertising technology providers. Our domain covers core auction functionality and yield optimization across the stages of an ad auction: orchestrating bid requests, selecting ads, and logging events. Our science drives the PAS “smart default” algorithms, including low-latency “decision” algorithms for pacing, podding, dynamic allocation, and auctions during deal/ad selection.- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Are you passionate about building data infrastructure to protect Amazon's customers and data from cyber threats? Join our team and help defend against evolving security risks at massive scale.Key job responsibilitiesAs a Data Engineer on the Threat Discovery and Detection (TD2) team within Customer Service Security, you'll play a crucial role in building and maintaining the data infrastructure that powers our advanced threat detection and prevention systems. You'll work at the intersection of big data and cybersecurity, leveraging cutting-edge technologies to identify and mitigate potential risks to Amazon's customer service operations.You'll be responsible for designing, implementing, and optimizing data pipelines that ingest, process, and analyze vast amounts of security-related data from multiple sources. Your expertise will be essential in developing scalable solutions that enable real-time threat detection, anomaly identification, and predictive risk modeling.In this role, you'll collaborate closely with security engineers, data scientists, and software engineers to translate complex security requirements into robust data architectures. You'll leverage cutting-edge technologies and AWS services to build systems that embody our "Fortify the Exit, Secure the Entry" security approach.A day in the life* Collaborate with data scientists and security engineers to architect data pipelines that support novel threat detection algorithms * Design and maintain scalable ETL processes to ingest and transform massive volumes of log and event data* Implement data quality checks and cleansing workflows to ensure the integrity of our detection systems * Optimize queries and data models to enable rapid threat hunting and anomaly detection * Present data infrastructure designs to cross-functional partners and incorporate their feedback * Troubleshoot data flow issues and provide technical support to detection engineersAbout the teamThe Threat Discovery and Detection (TD2) team is a critical component of the Customer Service Security organization. Our mission is to protect Amazon customer data and ensure operational integrity through advanced techniques and continuous monitoring. We develop innovative solutions that identify internal threats impacting Customer Service and establish a multi-layered defense strategy.In the coming years, we're focused on enhancing our real-time threat detection capabilities, implementing machine learning-driven anomaly detection, and expanding our data sources to provide more comprehensive security coverage. As a Data Engineer, you'll be at the forefront of these initiatives, helping to shape the future of data-driven security at Amazon.ABOUT AmSec:Diverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why Amazon Security At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Inclusive Team Culture In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training and Career growthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. - Bachelor's degree- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Master's degree- Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence- Familiarity with machine learning concepts and their application in anomaly detectionAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon Prime’s Science organization leads the Research & Development towards innovation for Amazon Prime. Amazon Prime is the backbone of Amazon’s consumer business and aspires to be the world’s most engaging, satisfying, and loved membership program, driving growth and profitability. The program serves over 200 million members across 25 countries and is key to Amazon’s customer growth and engagement. Prime Science innovates in Artificial Intelligence and Economics, to develop algorithms and systems for automated marketing, personalization, targeting, and decisioning. Within the engineering group in Prime Science, we develop world class solutions to complex scientific and engineering problems at Amazon scale. You will work alongside world class scientists to build a suite of fully automated, scalable and robust products driven by the data systems you develop.Do you want to work with the worlds best engineers at massive scale on hard problems? Do you want to be impact over 200 million Prime members WW? Do you want to learn the latest AWS and big data technologies to build cutting-edge science products? Are you someone who likes using big data to drive high-impact business decisions? If the answer is yes, come join our team!Key job responsibilities- Build big data pipelines for machine learning applications at Amazon scale- Advance the state of data engineering infrastructure on the latest tools (AWS Glue, Spark, AWS EMR, EMR Serverless, Ray etc...)- Improve and raise the bar on proactive data quality monitoring and alarming (e.g., anomaly detection) across big data pipelines- Work alongside science to enhance data pipelines that feed models improving the customer experience of over 200MM customers world wide.- Defining the future of Prime Science data architectureA day in the lifeAs a data engineer on this team, you will collaborate closely with Prime business leaders, scientists (economists, research scientists, applied scientists) and engineering leaders to build data solutions. You will leverage AWS technologies (EMR, EC2, S3, GLUE, KMS, Lambda, DynamoDB, etc.) to build novel systems and tackle challenges at scale. You will manipulate and process TB-sized data, supporting real-time access and orchestration across multiple systems. Your work will enhance our scientific models and data applications. As a consequence, you will have global impact, improving customer experiences for Prime members worldwide. As a successful candidate, you will successfully interact with both technical and business stakeholders.About the teamOur team has a vision to enable Prime Science to be adopted WW across Amazon so as to drive the best possible customer experience. We set and raise engineering excellence standards in Amazon for science-based products. We are a unique team as we sit at the intersection of building engineering systems at Amazon scale and availability, incorporating the latest science (econometrics, ML, AI etc...), and delivering cross-cutting applications to delight over 200 million customers. Building and our science products at-scale and in real-time, creates interesting new data engineering challenges. These give a person in this role a head start in solving artificial intelligence challenges that will be ubiquitous 3-5 years from now.- 1+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)- Experience with one or more scripting language (e.g., Python, KornShell)- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $91,200/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

WorldWide Amazon Stores FinTech (WWASFT) team is looking for an outstanding Data Engineer who is data-driven, uncompromisingly detail oriented, smart, efficient, and driven to help our business succeed. You have passion for technology. You are keen to leverage existing skills while trying new approaches. You are not tool-centric; you determine what technology works best for the problem at hand and apply it accordingly. You can explain complex concepts to your non-technical customers in simple terms.As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate.Key job responsibilities- Design and develop the pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python and AWS big data technologies.- Oversee and continually improve production operations, including optimizing data delivery, re-designing infrastructure for greater scalability, code deployments, bug fixes and overall release management and coordination. - Establish and maintain best practices for the design, development and support of data integration solutions, including documentation.- Work closely with Product teams, Finance Teams, Software developers and Business Intelligence Engineer to explore new data sources and deliver the data.- Able to read, write, and debug data processing and orchestration code written Python/Scala etc following best coding standards (e.g. version controlled, code reviewed, etc.)About the teamThe Worldwide Amazon Stores Finance Technology (WWASFT) team serves as the dedicated technology partner for Amazon's global Amazon Stores (AS) organization. Our mission is to deliver innovative technical solutions that empower Amazon Stores' financial and operational processes and systems. We are committed to providing cutting-edge tools and services to support over 4,000 Finance end-users across all Consumer and Operations finance verticals. Moreover, we own and maintain a suite of centralized fintech products that enable common financial activities such as planning, variance analysis, allocations, data management, analytics, reporting, and compliance and controllership functions.- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)- Experience working on and delivering end to end projects independentlyAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Device, Digital & Alexa Support (D2AS) team seeks a Data Scientist to drive our hiring process improvements. In this role, you will:- Lead modeling projects to enhance our hiring pipeline efficiency and candidate experience.- Develop data-driven insights to inform product decisions.- Design and conduct statistical experiments to uncover hiring optimization opportunities.- Create user-friendly analytical tools for our product team.The ideal candidate will have:- Strong leadership and project management skills.- Experience in data requirements gathering and statistical methodology development. - Ability to balance technical expertise with business acumen - Creativity in problem-solving, backed by statistical evidence.Your work will directly impact our ability to attract and retain top talent, ultimately benefiting our customers through improved support services. Join us in simplifying and enhancing our hiring process with data-driven solutions.Key job responsibilities- Design and run experiments, research new algorithms, and find new ways to improve hiring analytics to optimize the candidate and associate experience. - Research machine learning algorithms and implement by tailoring to business needs and test on large datasets. - Partner with scientists, engineers and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers. - Collaborate with BI/Data Engineer teams and drive the collection of new data and the refinement of existing data sources to continually improve data quality. - Foster culture of continuous engineering improvement through mentoring, feedback, and metrics. - Manipulating/mining data from databases (Redshift, SQL Server, Oracle DW, and Salesforce). - Providing analytical network support to improve quality and standard work results.A day in the lifeWe thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environment.If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!Benefits summary: Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) PlanAbout the teamWe at D2AS strive to make digital experiences effortless for customers. Our goal is to anticipate, evaluate, prevent, and eliminate any effort required from customers. We achieve this by setting the strategy for digital support and accelerating the delivery of seamless support experiences across Amazon's digital products.Our team combines strategic thinking, technology expertise, and customer experience best practices. This ensures customers can easily get the most value from Amazon's digital offerings. We focus on providing the right support at the right time, tailored to each customer's needs. By eliminating friction and making support effortless, we enhance the overall customer experience.- 2+ years of data scientist experience- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environment- Experience in Python, Perl, or another scripting language- Experience in a ML or data scientist role with a large technology companyAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

We are seeking a talented and analytical Data Scientist to join our team and drive data-driven insights and solutions. In this role, you will be responsible for performing exploratory data analysis, developing and deploying predictive models, and leveraging advanced analytics techniques to uncover valuable insights and support data-driven decision-making across the organization.Key job responsibilities• Collaborate with our applied and data scientists to build robust and scalable Generative AI solutions for business problems• Effectively use Foundation Models available on Amazon Bedrock and Amazon SageMaker to meet our customer's performance needs• Work hands on to build scalable cloud environment for our customers to label data, build, train, tune and deploy their models• Interact with customer directly to understand the business problem, help and aid them in implementation of their ML ecosystem• Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes• Work closely with partner teams to drive model implementations and new algorithmsAbout the teamAmazon Web Services (AWS) provides a scalable cloud computing platform to companies globally. AWS Global Services (GS), formed in 2022, delivers customer success throughout the cloud adoption lifecycle. Our 25K+ employees and integrated offerings enable us to combine technology and human expertise to maximize and accelerate customer outcomes.GS is comprised of four primary business units: 1) Global Services Security (GSS) provides security guidance and offerings, 2) Training & Certification (T&C) offers cloud skills training and certification, 3) Professional Services (ProServe) provides consulting and hands-on-keyboard services, and 4) Support and AWS Managed Services (Support) delivers 24/7 technical support and managed services.Together, these teams continuously improve our systems and processes to enable better results for both customers and employees, with the GS Strategy & Operations (GSS) teams supporting each. GSSO enables integrated business support, product management, planning, and deal strategy for GS. GSSO understands customer experiences and inspires bold ideas to deliver the best experiences and solutions to our customers. We embrace scientific thinking, pursue continuous improvement, and develop talent to provide world-class support across GS.About AWSDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. - 2+ years of data scientist experience- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environment- Experience in Python, Perl, or another scripting language- Experience in a ML or data scientist role with a large technology companyAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.