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Job Description

Data Engineer II on the Prime Video Product Analytics (PVPA) team in Seattle, WA, with a salary range of USD 132,100 - 178,800 per year.

Responsibilities

  • Build and maintain the data infrastructure powering Prime Video's out-of-app and full-funnel customer journey analytics.
  • Own critical datasets and pipelines that directly support analytics, experimentation, and machine learning use cases, enabling smarter targeting, personalization, and measurement.
  • Design, implement, and maintain scalable and reliable data models and ETL pipelines that span the full customer funnel—including the reporting layer for the out-of-app messaging platform and other PV marketing channel infrastructure.
  • Build and enhance the AI tooling and analytics products to enable self-serve and improved efficiency.
  • Partner with engineering and dependency teams to define data contracts, ensure upstream data reliability, and proactively manage communication and change coordination for data schema updates.
  • Collaborate with Business Intelligence Engineers and Data Scientists to deliver clean, structured data for dashboards, reporting, experimentation, full-funnel attribution, and ML use cases.
  • Monitor pipeline health, resolve job and cluster issues, and improve automation, testing, and observability to increase system resilience.
  • Champion data engineering best practices across the team—including documentation, version control, peer reviews, and operational excellence.

Requirements

  • 3+ years of data engineering experience.
  • Experience with data modeling, warehousing, and building ETL pipelines.
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
  • Experience with SQL.

Technologies

  • Redshift
  • Oracle
  • NoSQL
  • S3
  • AWS Glue
  • EMR
  • Kinesis
  • Firehose
  • Lambda
  • IAM

Benefits

  • Health insurance
  • 401(k) matching
  • Paid time off
  • Parental leave
  • Sign-on payments
  • RSUs (restricted stock units)

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