Data Engineer
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)