Data Engineering

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.

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.

Amazon Advertising is seeking a Data Engineer to help us accelerate our efforts in delivering technology and insights capabilities for the Marketing Finance team.This role will influence the direction of the business by translating broad business problems into specific analytics projects, building and maintaining data pipelines, datasets, conducting quantitative analyses, and communicating results effectively. This individual will help drive scalable robust management of datasets and pipelines to assist Business and Finance leadership with decision-making. As a key data engineering partner, this candidate will have significant exposure to Advertising Finance Managers, and require partnership with a broad set of teams including finance, product, sales, operations, and technology. We see a high potential for growth in the role as we transform our data into actionable insights to continue to fuel the growth of our business partners.The successful candidate will have a top analytical mind capable of understanding our complex ecosystem of advertisers, and be a self-starter comfortable with ambiguity, with strong attention to detail, and with an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to take on technically challenging projects and delivering results is a must.Key job responsibilities- Building data pipelines using SQL, Scala, PySpark & Python- Working with AWS BigData technologies such as Glue, S3, Redshift- Building solutions that monitor the quality of data in our pipelines (including anomaly detection)- Working with customers to understand the business context of new features- Participating in design reviews and consulting with engineering peers- Participating in operational support for our products, and drive reliability and process improvements- Optimizing the performance of pipelines using metrics- Designing and implementing complex pipelines and other Data Engineering solutions.- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- 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)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.Pursuant to the San Francisco 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.

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.

The Amazon Devices team designs and engineers high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced groundbreaking devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo. What will you help us create?The Team: How often have you had an opportunity to be a founding member of a team that is solving a significant problem through innovative technology? Would you like to know more about how we are envisioning the use of data analytics, machine learning, AI and linear programming to solve these problems? If this sounds intriguing, then we’d like to talk to you about a role on a new Amazon team that's tackling a set of problems requiring significant innovation and scaling.We are seeking a Data Engineer with strong analytical, communication and project management skills to join our team. Working closely with business stakeholders, software development engineers and scientist colleagues, you will design, evangelize, and implement state-of-the-art solutions for never-before-solved problems, helping Amazon Device to provide customer great products and keep the data secure. You will work with the most complicated data environment, employ right architecture to handle big data and support various analytics use cases, including business reporting, production data pipeline, machine learning, optimization models, statistical models, simulation, etc. Your work will have a direct impact on the day-to-day decision making in the Amazon Devices Sales & Operations Technology, and end customers. You are an individual with outstanding analytical abilities, excellent communication skills, good business understanding, and technically savvy. The successful candidate will be an analytical problem solver who enjoys diving into data, is excited about solving ambiguity problems, can multi-task, and can credibly interface between technical teams and business stakeholders.Key job responsibilities1. Design, implement and support an analytical data infrastructure using AWS technologies2. Build robust and scalable data integration (ETL) pipelines using SQL, and AWS data storage technologies like Aurora, Red Shift etc.3. Design and develop Analytics applications using modern scripting languages (Python, R, PHP, etc) supporting critical business functions.3. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.4. Lead architecture design and implementation of next generation BI solution5. Continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.About the teamOur team's north star is to empower the device software and services organization, along with its business partners, to make accurate and well-contextualized decisions quickly, helping them focus on delivering the best possible device customer experiences. We achieve this by integrating business intelligence and machine learning into human and system decision flows through scalable, configurable, and reusable foundational services.- 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 Senior Data Engineer to join our Publisher Ad Server team within SupplyTech. In this role, you will be instrumental in designing, developing, and maintaining the data infrastructure that powers our advertising technology solutions for publishers. This role plays a crucial role in supporting data needs for science algorithms, budget allocation and contention, reporting, and generating actionable business insights.Key Responsibilities:• Architect and implement scalable data pipelines to process large volumes of advertising data in real-time• Develop and optimize ETL processes to integrate data from various sources into our data warehouse• Design and maintain data models to support reporting, analytics, forecasting, and machine learning initiatives• Collaborate with cross-functional teams, including software developers, applied scientists and business analysts, to understand requirements and translate them into technical solutions• Implement data quality checks and monitoring systems to ensure data accuracy and reliability• Optimize query performance and data storage solutions for improved efficiency• Support the development of business intelligence tools and dashboards for actionable insights• Contribute to forecasting models by providing clean, reliable data sets• Mentor junior engineers and contribute to the team's best practices and coding standardsRequirements:• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field• 5+ years of experience in data engineering, with a focus on big data technologies• Expertise in SQL and experience with big data processing frameworks (e.g., Apache Spark, Hadoop)• Proficiency in at least one programming language such as Python, Java, or Scala• Experience with cloud-based data solutions, preferably AWS services (e.g., Redshift, S3, EMR)• Strong understanding of data modeling, data warehousing, and ETL processes• Experience in supporting data science and forecasting projects• Familiarity with business intelligence tools (e.g., Tableau, PowerBI) is a plus• Knowledge of ad tech and digital advertising concepts is advantageous• Excellent problem-solving skills and attention to detail• Strong communication skills and ability to work in a collaborative environmentAt Amazon Ads, you'll have the opportunity to work on cutting-edge advertising technology that impacts millions of users and generates billions of impressions daily. Your work will directly contribute to data-driven decision making, scientific advancements, and business growth in the digital advertising space. Join our team and help shape the future of advertising technology through robust data engineering solutions!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.- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience mentoring team members on best practices- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience operating large data warehousesAmazon 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 $139,100/year in our lowest geographic market up to $240,500/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.

Have you ever ordered a product from Amazon and been amazed at how fast it gets to you?Every day Amazon engineers are relentlessly working to decrease the time between Click to Deliver for your products. The Amazon Fulfillment Technologies (AFT) team owns all of the software and infrastructure which powers Amazon's world-class fulfillment engine. Our team in the Seattle office is building complex, massive data systems to capture data during every step in the automated pipeline and use that data to proactively predict efficiency and cost improvements to deliver the packages fast to our customers.Key job responsibilitiesAs an Amazon.com Big Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should be skilled in the architecture of DW solutions for the Enterprise using multiple platforms (RDBMS, Columnar, Cloud). You should have experience in the design, creation, management, and business use of extremely large data-sets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. Above all, you should be passionate about working with huge data sets and someone who loves to bring data-sets together to answer business questions and drive change.As a Big Data Engineer in this role, you will develop new data engineering patterns that leverage a new cloud architecture, and will extend or migrate our existing data pipelines to this architecture as needed. You will also be assisting with integrating the Redshift platform as our primary processing platform to create the curated Amazon.com data model for the enterprise to leverage. You will be part of a team that builds the next generation data warehouse platform and to drive the adoption of new technologies and new practices in existing implementations. You will be responsible for designing and implementing the complex ETL pipelines in data warehouse platform and other BI solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision-making at Amazon.com.A day in the lifeAmazon 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 Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) Plan 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!About the teamAmazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.Platform Engineering & ServicesAFT’s Platform Engineering & Services team leverages data, process improvement, and innovative technologies to provide comprehensive engineering excellence services/solutions across AFT’s product portfolios.- 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.

Do you love data? Do you want to learn new technologies? Join our OCEANS team and help shape the future of employee compensation at Amazon! Our job is to establish data definitions, conduct research, and launch products to support the Amazon Leadership Team and Consultants in making pay decisions for employees. As a Data Engineer on our team, you'll work with cutting-edge technologies and complex data environments. You'll be responsible for enhancing our existing data architecture to further standardize metrics and definitions, developing end-to-end data engineering solutions for complex analytical problems, and collaborating with analysts, data scientists, and software engineers to translate data into actionable insights.This role requires you to live at the intersection of data, software, and science. We leverage a comprehensive suite of AWS technologies, with key tools including S3, Redshift, DynamoDB, Lambda, API's, Glue, MWAA, DataZone, and SageMaker. You will drive the development process from design to release. Key job responsibilities Managing data ingestion from heterogeneous data sources, with automated data quality checks. Creating scalable data models for effective data processing, storage, retrieval, and archiving. Using scripting for automation and tool development, which is scalable, reusable, and maintainable. Providing infrastructure for compensation analytics and science use cases. Using industry best practices in building CI/CD pipelines.About the teamJoin our team at Amazon, where data drives our global compensation strategy. As a cutting-edge business intelligence and analytics unit, we're shaping how Amazon compensates million+ employees worldwide. Our mission: to leverage advanced analytics in evaluating and scaling our annual pay policy, directly influencing the company's growth trajectory. If you're seeking a role with large-scale impact, we offer the opportunity to apply your analytical skills at the intersection of big data, human resources, and business strategy. Your work will revolutionize Amazon's compensation landscape, ensuring fair, competitive, and forward-thinking pay practices that support our company's continued success and expansion.- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations- Experience with one or more scripting language (e.g., Python, KornShell, Scala)- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)- 1+ years of data engineering experience- Knowledge of cloud services such as AWS or equivalent- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience in creating, onboarding, and working with APIs and productionizing ML/science algorithmsAmazon 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.

Amazon Luna is seeking a Sr. Date Engineer (DE) who is passionate about data, engineering, and analytics and wants to solve real-world problems that impact the lives of customers. Amazon Luna capitalizes on Amazon’s scale and speed to build a robust cloud gaming technology that provides customers flexibility to play games anywhere on devices of their choice.The ideal candidate will have excellent problem investigation abilities, and the ability to synthesize data into crisp and clear recommendations for scientists and product leaders. To be successful in this role, you should have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business needs.In the role, you will work closely with scientists, product managers and BIEs to build out infrastructure, data pipelines, and reporting mechanisms for our team.Our Data Engineer duties & responsibilities will include:- Design and deliver big data architectures for experimental and production consumption between scientists and BIEs- Develop the end-to-end automation of data pipelines, making datasets readily-consumable by visualization tools and notification systems.- Create automated alarming and dashboards to monitor data integrity.- Create and manage capacity and performance plans.- Act as the subject matter expert for the data structure and usage.Key job responsibilities- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience mentoring team members on best practices- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience mentoring team members on best practices- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience operating large data warehousesAmazon 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 $139,100/year in our lowest geographic market up to $240,500/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.

Interested in Visual Search? Do you want to work on a team that is changing how people shop with their mobile devices? Based in Palo Alto, our team is responsible for building computer-vision based solutions for shopping - from using the phone’s camera to search for a product to previewing it in your own living space using AR. Our solutions are available in the Amazon Mobile Shopping app and used by millions of people worldwide every day. We use advanced technologies to leverage our vast catalog of images in ways that dramatically improve the experience of Amazon customers. We tackle complex problems in computer vision, computer graphics, deep learning, image search.Key job responsibilitiesIn this role, you will be member of the team that owns the Data Engineering function for the Visual Shopping org. This team manages datasets that act as the final feedback to our group on how well our features are being received by customers. You will build and maintain data pipelines that handle Amazon scale data and make it easily accessible for BIEs and Product team for querying and for generation of reports relevant to business. A great fit candidate for this role would be someone who brings experience building large scale big data systems that can handle petabytes of data.* Design, implement and support an analytical data infrastructure* Create and maintain data transformation logic, create scalable data solutions* Interface with other technology teams to extract, transform, and load data from a wide variety of data sources* Collaborate with BIEs to recognize and help adopt best practices in reporting and analysis* Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency* Help continually improve ongoing data ingestion, reporting and analysis processes* Maintain internal reporting platforms/tools* Write advanced SQL queries and code to develop data solutions- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Solid track record of manipulating, processing, and extracting values from large datasets.- Hands-on experience and highly advanced knowledge of SQL, Data Modeling, ETL Development, and Data Warehousing.- Solid experience using big data technologies (Redshift, MapReduce, Hive, Hbase, Spark, EMR, etc.).- Strong customer focus, ownership, and ability to deliver results.- Excellent communication and collaboration skills- Effective analytical, troubleshooting, and problem-solving skills.- 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 building large-scale, high-throughput, 24x7 data systemsAmazon 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 $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.

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.

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.

Are you looking for an opportunity to develop technology that will redefine the customer experience for one of the fastest growing and strategic organizations within Global Engineering Services (GES)? Are you interested in joining a global team that is innovating with CX to make Amazon's building network grow? This is your chance to get in on the ground floor with the Global Engineering Insights & Software Tools (GEIST) tech team that is shifting the paradigm for engineering services with disruptive experiences! The GEIST organization supports a vast portfolio of buildings within the Amazon network and the build out standards and designs.We are looking for an experienced Data Engineer to play a pivotal role in developing and implementing a comprehensive data platform for GES business. The successful candidate will have a proven track record of building integrated data tools and platforms to support global businesses. This fast-paced, results-oriented role will involve developing the platform to support key decisions for Global Engineering Services. You will work closely with Engineering, Product and Technical Program teams as you develop forward-looking architecture and build strategies to complement the revolutionary GEIST vision.In this role, you will have the freedom (and encouragement) to experiment, improve, invent, and innovate on behalf of our customers. You will have the satisfaction of being able to look back and say you were a key contributor to something special from its earliest stages.Key job responsibilitiesDesign, implement, and support data warehouse/ data lake infrastructure using AWS bigdata stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark, Athena etc.• Develop and manage ETLs to source data from various systems and create unified data model for analytics and reporting.• Creation and support of real-time data pipelines built on AWS technologies including EMR, Glue, Redshift/Spectrum and Athena.• Continual research of the latest big data technologies to provide new capabilities and increase efficiency.• Manage numerous requests concurrently and strategically, prioritizing when necessary• Partner/collaborate across teams/roles to deliver results.About the teamThe GEIST team serves as the software solution team to all Global Engineering needs, working with its customers to set a consolidated Tech strategy, and prioritizing investments to best serve their needs and our bottom line. The GEIST team is responsible for the sustainment of a large product suite ranging from Planning & Forecasting applications to robust in-flight management of field execution users. These systems are leveraged by several thousand internal and external users around the globe.- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Bachelor's degree- 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

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.Kuiper Production Operations team is looking for a Data Scientist who is motivated to take on challenges and be part of a growing team that analyzes and implements Kuiper controls. As part of the Kuiper Enterprise Technology team, you are responsible for delivering Kuiper control systems and processes to meet Kuiper security and compliance standards. You will be a key liaison with Kuiper service teams, infrastructure teams, Kuiper Security, and Global Trade and Compliance. Have the ability to dive deep, understand, document, communicate and implement controls for IT systems and processes, and be able to drive innovative process changes and automation throughout the Kuiper organization.We have a team culture that encourages ownership, diversity, inclusion, and innovation. You will have an opportunity to work across the entire Kuiper organization implementing and managing various controls along side Kuiper Security. Kuiper security owns policy and definition of controls, and this role owns the coordination, development, implementation, and change management of controls as well as managing defects and improvements.Key job responsibilities* Expertise in implementing machine learning algorithms and generative artificial intelligence to support Activity-Based Intelligence (ABI) methodologies for data monitoring, searching, research, and discovery.* Proven experience with advanced statistical models, behavioral and population clustering, and predictive analytics applied to automation orchestration.* Hands-on experience with reference model platforms such as QuickSight, Tableau, Databricks, AWS Glue Catalog, and Palantir.* Proficiency with programming languages and tools such as Bourne shell, PowerShell, TypeScript, Go, Python, and Jupyter Notebook.* Strong communication skills, with the ability to discuss and explain complex ML and AI concepts to executive leadershipExport Control Requirement: Due to the need to access certain federal controlled information, you must be a U.S. citizen for consideration. - 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience mentoring team members on best practices- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience operating large data warehousesAmazon 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 $139,100/year in our lowest geographic market up to $240,500/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 WorldWide Grocery Stores Data & Analytics is seeking an experienced and proven Data Engineer (DE) to lead medium to large cross-functional strategic initiatives that support WWGS strategic goals. This is a unique opportunity for someone inspired by WWGS core values and is interested in Amazon’s high-growth grocery business to bring their whole self to the role.Key job responsibilitiesWe are seeking an experienced Sr. Data Engineer who will leverage their experience and talent to lead data integration, reporting, and analytics projects. This high impact role will be part of a team that will design and build our north star data infrastructure moving WWGDT away from our patchwork of 3p solutions. You will partner with other Data Engineers along with Software Developers, Business Intelligence Engineers, Analysts, Product Manager, and Program Managers inside and outside of the team to distill large, complicated datasets into automated, digestible analytic deliverables. You will use your organization skills, backbone, and high sense of ownership while collaborating with the rest of your team. You will have an opportunity to make a large impact on our modernized design, architecture, and development of data products. You will be a part of a data engineering team well versed in the legacy solutions and be asked to contribute to deliver on the future vision.A day in the lifeWork with your leadership to define and execute the data engineering strategy for WWGDT.Leverage SQL and coding skills (e.g., python, java, etc.) to extract, transform, and load data.Collaborate with internal and external teams to scope, design, build, and support data pipelines focusing on performance, cost, operational excellence, continuous improvement as well as delivering business value.Work within multiple technology stacks including working within custom built proprietary AWS framework to deliver data solutionsParticipate and lead standups and design sessions, maintain Jira health, and create artifactsLead and mentor your peersAbout the teamWe enable sophisticated, fact-based decision making across WWGS by delivering constantly evolving technology and analytic capabilities. This team will solve challenging and novel problems every day and have the opportunity to redefine the grocery industry while collaborating with multiple teams across WWGS and WholeFoods Market(WFM). You will be able to enjoy and contribute to the unique blend of Amazon and WFM Tech culture. You will be based out of Austin, TX, one of the best places to live and work. Most importantly, you’ll be contributing to WFM's Higher Purpose of Nourishing People and the Planet!- 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.

The One Medical team is looking for an experienced Data Engineer to work on industry leading tech for clinical care.At One Medical we build technology that powers best-in-class health care. Our web and mobile apps enable digital healthcare experience that our members love, and our software platform is used by our doctors and nurses to deliver great care. Our team delivers amazing end-to-end solutions to connect patients and our care team in new and innovative ways.If you like to work with data that is directly affecting business decisions, and you have a passion for doing brand new things with data, then this role is for you. As a key member of our data engineering team, you will work alongside our business analysts, business leaders, and the rest of our engineering team to help transform the way healthcare uses data.#everydaybetterKey job responsibilitiesWork closely with data scientists and analysts to build complex data pipelines from health and business operations data utilizing SQL, PySpark, Python, Airflow, Snowflake, and AWSDevelop frameworks for connecting to data sources and building ETL tasksWork on the data pipeline platform to enable Analytics and Data Science team members to quickly and efficiently build reliable pipelinesConsistently evolve data model & data schema based on business and engineering requirementsDeliver data that will drive business decisions, improve quality of care, and optimize the doctor's office- 1+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- 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. 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.Pursuant to the San Francisco 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 $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.

Amazon Last Mile DSP is seeking an extraordinary Data Engineer to join the DSP Analytics team. At Amazon, we are working to be the most customer-centric company on earth -- including how we fulfill and deliver customer orders. The goal of Amazon’s Service Partner (DSP) Management Team is to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best in class experience through the introduction of pioneering new products and services in the last mile space. This person will play a key role in providing the end-to-end engineering solutions to support key business initiatives related to Insurance products and Insurance claims. If you are passionate about technologies, strongly biased to go deep to find insights and build scalable analytical platform, relentless in ensuring quality and reliability, and feel comfortable communicating with different levels of leadership, you are the candidate we are looking for! You should have deep expertise in the creation, management, and business use of 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 to ingest the into the lake. You should be an authority at crafting, implementing, and operating stable, scalable, low cost solutions to flow from production systems into the data lake. Above all you should be passionate about working with complex business datasets and someone who loves to bring datasets together to answer business questions and drive growth. You will develop new engineering patterns that leverage new cloud architectures, and will extend or migrate existing pipelines to the architectures as needed. You will be responsible for designing and implementing the complex pipelines in data platform and other BI solutions to support the rapidly growing and dynamic business demand, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making at Amazon.com Key job responsibilities* Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal Amazon tools.* Improve existing solutions and come up with next generation Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security.* Develop new data models and end to data pipelines.* Lead design reviews for other Data Engineers on the team and actively participate in design reviews of related tech products.* Provide technical and thought leadership for Data Engineering and Business Intelligence within the org.* Create and implement Data Governance processes for mitigating privacy and security risks.About the teamWe are the core Amazon DSP business intelligence team with the vision to enable data, insights and science driven decision-making. We have exceptionally talented and fun loving team members. In our team, you will have the opportunity to dive deep into complex business and data problems, drive large scale technical solutions and raise the bar for operational excellence. We love to share ideas and learning with each other. We are a relatively new team and do not carry legacy operational burden. We believe in promoting and using ideas to disrupt the status quo.- 5+ years of data engineering experience- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data modeling, warehousing and building ETL pipelines- Knowledge of distributed systems as it pertains to data storage and computing- Experience working on and delivering end to end projects independently- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby- Experience with Redshift, Oracle, NoSQL 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. 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.

Do you love building data pipelines? Are you excited by the opportunity to design tools and infrastructure needed to analyze large volumes of data? Do you want to help solve big data warehousing problems, and partner with stakeholders to understand how to best design and implement cutting edge data solutions that provide answers to key business questions? Do you want to be a part of a fast-paced environment and contribute to one of the most visited sites on the Internet?At Amazon, we hire the best minds in technology to innovate on behalf of our customers. The intense focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Data engineers use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand.The challenges data engineers solve for at Amazon are big and impact millions of customers, sellers, and products around the world. Our path is not always simple, so we are selective about who joins us on this journey. There is a certain kind of person who takes on this role at Amazon – someone who is excited by the idea of creating new products, features, and services from scratch while managing ambiguity and the pace of a company whose ship cycles are measured in weeks, not years.We’re on the lookout for the curious, those who think big and want to define the world of tomorrow.At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth.How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.Key job responsibilities- Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources.- Design data schema and operate internal data warehouses and SQL/NoSQL database systems.- Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards that engineers, analysts, and data scientists use to drive key business decisions.- Monitor and troubleshoot operational or data issues in the data pipelines.- Drive architectural plans and implementation for future data storage, reporting, and analytic solutions.- Develop code based automated data pipelines able to process millions of data points.- Improve database and data warehouse performance by tuning inefficient queries.- Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems.- Provide assistance to the team with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem.- 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.

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.