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Data Engineer II, AWS Analytics Engineering
Amazon · Seattle, WA · Posted 24 days ago
Own a major portion of the data architecture for AWS Analytics, powering product leadership decisions across 150+ AWS services at petabyte scale.
The AWS Analytics Engineering (AAE) organization is the analytics backbone of AWS — we build and operate the data platform that powers business decisions across more than 150 AWS services. Every insight surfaced to AWS product leadership, from service adoption trends to revenue drivers, flows through systems our team designs, builds, and maintains. We operate at massive scale — processing petabytes of data daily through thousands of jobs consisting of transformations, reporting queries, ingestions, and infrastructure management scripts. Our engineers work directly with source systems to procure data, convert it into structured formats, build large-scale processing pipelines, design analytical data models, and maintain infrastructure with the highest security and compliance standards.
We are seeking a Data Engineer to join our team. This individual will be a significant and autonomous contributor, owning a major portion of the team's data architecture — solving difficult problems, building logical data models, and delivering data pipelines that are stable, performant, and consistently high quality. You will work with engineers and stakeholders across AWS to design data contracts, build ingestion flows, and deliver analytical models that increase self-service access to datasets and business effectiveness.
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There are 17,473 open roles at Amazon right now. This role is one of 34 Data Engineer openings in Seattle, WA and centers on SQL, Etl, Redshift, and S3.
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