Data Engineer

Join a data driven, innovation focused team with a strong growth focus for Prime Video Commerce Analytics. The position offers robust benefits, including comprehensive health coverage (medical, dental, vision, prescription), 401(k) matching, and paid time off. Additional rewards include parential leave, sign-on payments, and restricted stock units. The team is primarily based in Seattle with a presence in New York and London, delivering analytics and data-driven insights to power Prime Video’s commercial and content strategies. A collaborative, cross-functional culture drives intelligent systems that connect data to personalized customer experiences across streaming, live events, and emerging formats.

Responsibilities

• Design and refine intricate data pipelines and models that power subscription, transaction, and device registration datasets
• Deliver scalable data solutions on native AWS infrastructure
• Develop data quality validation frameworks and monitoring to ensure data integrity and timeliness
• Build and optimize batch and near real-time processing workflows using Spark, Redshift, and Andes
• Create robust orchestration and monitoring for workflows with complex dependencies
• Collaborate with cross-functional teams to onboard new data sources

Requirements

• Minimum 3 years of data engineering experience
• Proven experience with data modeling, warehousing, and ETL pipeline development
• Proficiency in SQL

Technologies

• Redshift, EMR, Spark
• Andes Data Lake, AWS services (S3, Glue, Kinesis, Firehose, Lambda, IAM)
• SQL

Benefits

• Health insurance covering medical, dental, vision, and prescription drugs, plus Basic Life & AD&D insurance and optional supplemental life plans
• Employee Assistance Program including mental health support and Medical Advice Line
• Flexible Spending Accounts
• Adoption and surrogacy reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave
• Sign-on payments
• Restricted stock units

About the Team

The team is centered in Seattle, with additional presence in New York and London. It is a data‑driven organization focused on Prime Video’s growth and commerce analytics, with strong representation across business intelligence, data engineering, and product management to support Prime Video’s commercial and analytical needs.

Cross-functionally, the team builds intelligent systems that fuse content and data to deliver personalized customer experiences across streaming, live events, and evolving formats.