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Agentic Data Engineer, Frontier AI Tooling
Amazon · Seattle, WA · Posted 24 days ago
Design data models and ETL pipelines powering AI agents that help AWS deliver business outcomes at scale.
Do you want to build the products that help AWS ProServe and Frontier AI teams understand customer needs, develop the right solutions, and deliver them at scale? We are looking for a Data Engineer to own the data foundations behind the products and experiences that span ProServe, Frontier AI, and services teams within AWS Sales, Marketing and Global Sales. Your pipelines and datasets will let these teams deeply understand customer challenges, rapidly develop tailored solutions, and orchestrate delivery, directly accelerating how AWS delivers business outcomes to our customers.
You will build and operate the pipelines and datasets that feed the context layer and agentic workflows: ingesting external insights, internal data, and insights collected by sales and delivery teams, and turning them into reliable, well-modeled datasets that models and agents can reason over. You design data models, ETL, and integration services that are flexible, extensible, and scalable, then support and grow them over time. This is a hands-on role where the playbook is written in real time. You ship to production and own the correctness of the data that downstream agents depend on.
You are comfortable with ambiguity and partner with business leaders to build the pipelines that answer their key questions. You will unify fragmented data pipelines, build robust data models, and ensure reliable data lineage across multiple product areas, working closely with software engineers, product managers, and analytics teams. This is a role with high visibility to senior leadership and high opportunity for impact.
Key job responsibilities
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This role is one of 34 Data Engineer openings in Seattle, WA and centers on Data Engineering, Etl, Elt, and Data Modeling. There are 17,473 open roles at Amazon right now.
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