This onsite Data Engineer role at Amazon.com Services LLC is based in Seattle, WA, with a yearly salary range of USD 132,100 to 178,800.

Develop and sustain the data infrastructure powering Prime Video's out-of-app and full-funnel customer journey analytics, experiments, and ML use cases.
Own critical datasets and data pipelines that directly support analytics, experiments, and machine learning, enabling smarter targeting, personalization, and measurement.
Architect, implement, and maintain scalable data models and ETL pipelines that cover the full customer funnel, including the reporting layer for the out-of-app messaging platform and other PV marketing channel infrastructure.
Build and enhance AI tooling and analytics products to enable self-serve access and improved operational efficiency.
Collaborate with engineering and dependent teams to define data contracts, ensure upstream data reliability, and coordinate data schema updates and related communications.
Partner with Business Intelligence Engineers and Data Scientists to deliver clean, structured data for dashboards, reporting, experiments, attribution analyses, and ML use cases.
Monitor pipelines, troubleshoot jobs and cluster issues, and advance automation, testing, and observability to boost reliability.
Promote data engineering best practices across the team, emphasizing documentation, version control, code reviews, and operational excellence.

Minimum 3 years of data engineering experience.
Experience with data modeling, data warehousing, and building ETL pipelines.
At least 3 years of experience analyzing and interpreting data using systems such as Redshift, Oracle, NoSQL, among others.
Strong SQL skills.

Data Engineer

Job Description