Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.

Amazon Business Flywheel Inputs Analytics team is looking for a Data Engineer to build our data platform and set us up for future growth. Amazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find and buy products and services across multiple devices and marketplaces. Our team owns the data driven decision making for key AB problems including price setting, selection additions, and operations optimization. Amazon Business is a fast-growing business sector. We need leaders who can think big and drive big vision into a reality. Please come to work with us if you are result driven, think big, and want to have fun and make a history.

As a Data Engineer, you will partner with Software Developers, Business Intelligence Engineers, Scientists, and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured data. The ideal candidate has solid business judgement, depth of knowledge in data modeling and database architecture, written/documentation skills, and experience with big data technologies (Spark/Hive, Redshift, EMR, +Other AWS technologies).

In this role, you will function as a data engineering thought leader and establish operating procedures in partnership with software engineering teams to capture the optimal telemetry from existing, and future product/feature launches. You will design the ingestion in a way that efficiently integrates with the over-arching Amazon Business Pricing, Selection, and Services data model. You will force multiply your expertise across the Scientists and BIEs in the Org, and influence state of the art data pipelining and orchestration mechanisms.


Key job responsibilities
- Designing, implementing, and maintaining a cutting-edge data infrastructure to support our large and complex datasets using AWS Services and internal BDT Tools
- Working with Scientists, Product Managers, BI Engineers, and Software Engineers to design, implement and support source of truth data sources- Developing and optimizing robust ETL pipelines with comprehensive monitoring, alarming, and data quality controls to seamlessly integrate diverse data sources
- Building and scaling an analytical data model that provides self-service access to data and flexibility to integrate data sets from multiple sources
- Manage AWS resources, including exploring and learning the latest AWS technologies to provide new capabilities and increased efficiency
- Force multiplying engineering best practices and fostering a culture of continuous learning and innovation


- Experience with SQL
- 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 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

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.