Senior Data Engineer

Join Prime Video as a Senior Data Engineer in Seattle, onsite, with a competitive annual salary range of USD 154,600 to 209,100. This role centers on solving large-scale data warehousing challenges, building ETL pipelines on AWS, and enabling scalable data processing and self-service data access. You will be part of a team focused on automation and optimization across DW and ETL maintenance and deployment, with direct opportunities to influence day-to-day decision making.

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance
• Basic Life & AD&D insurance
• Supplemental life plans
• Employee Assistance Program (EAP)
• Mental Health Support
• Medical Advice Line
• Flexible Spending Accounts
• Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave

Responsibilities

• Solve large-scale data warehousing challenges by applying AWS cloud services to optimize big data processing, data warehouse design, and self-service data access.
• Drive automation and optimization across DW and ETL maintenance and deployment.
• Collaborate with business and technical teams on non-standard problems, using creative problem solving to produce actionable data outputs.
• Develop scalable data processing systems and tools using efficient technologies that handle seasonal spikes.
• Contribute to day-to-day decision making with data-driven insights that impact the team’s operations.

Requirements

• 5+ years of data engineering experience
• Experience with data modeling, warehousing, and building ETL pipelines
• Experience with SQL
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Experience mentoring team members on best practices

Technologies

• Redshift
• AWS
• Hadoop
• Hive
• Spark
• EMR
• SQL
• Python
• Java
• Scala
• NodeJS

About the Team

The team is primarily based 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-functional teams build intelligent systems that integrate content and data to deliver personalized experiences across streaming, live events, and emerging formats.