Senior Data Engineer, AWS Analytics Engineering

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 Senior Data Engineer to join our team. This individual will own 3-5 data domains end-to-end, operate hundreds of pipelines, and drive architectural improvements that impact how AWS leadership makes decisions. You will partner with service teams across AWS to design data contracts, build ingestion flows, and deliver analytical models that serve the entire organization.

The ideal candidate is a technical leader who thrives in ambiguity, takes a long-term architectural view, and consistently delivers exemplary solutions. You are an expert with SQL, ETL, and data processing, with experience leveraging cloud-based data services such as AWS EMR, Glue, Redshift, and Lambda. The candidate should have hands-on experience with AI/ML technologies, including LLMs, and a strong understanding of designing and building Agentic Frameworks — including autonomous agents, multi-agent orchestration, and tool integration. You are comfortable with ambiguity in a fast-paced environment, able to think big while paying careful attention to detail, and passionate about building data platforms using AI to accelerate the next generation of analytics at AWS scale.

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