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Job Description

Amazon's Prime Video Commerce Analytics team is seeking a Data Engineer to design scalable data infrastructure and pipelines on AWS that serve 50+ downstream teams. This onsite role in Seattle, WA blends hands-on data engineering with cross-functional collaboration to support Prime Video's commercial growth. The position offers a salary range of USD 132,100 - 178,800 per year and requires at least 3 years of data engineering experience.

Responsibilities

  • Design intricate data pipelines and models for datasets covering subscriptions, transactions, and device registrations
  • 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

  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Proficiency in SQL

Technologies

  • Redshift
  • EMR
  • Spark
  • Andes Data Lake
  • AWS
  • S3
  • AWS Glue
  • Kinesis
  • FireHose
  • Lambda
  • IAM
  • SQL

Benefits

  • Health insurance (medical, dental, vision, prescription; Basic Life & AD&D; option for supplemental life plans; EAP; mental health support; 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 (RSUs)

About the Team

The team is primarily based in Seattle with additional presence in New York and London. It represents a data-driven group focused on Prime Video's growth and commerce analytics, with strong representation across business intelligence, data engineering, and product management to support commercial and analytical needs.

Cross-functional teams build intelligent systems that integrate content and data to deliver personalized customer experiences across streaming, live events, and emerging formats.

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