Data Engineer, Amazon Prime Video Product Analytics

Amazon is a global leader in e-commerce and cloud computing, and they are seeking a Data Engineer II to join the Prime Video Product Analytics team. This role focuses on building and maintaining data infrastructure to support customer journey analytics, enabling smarter targeting and personalization through comprehensive data tools and insights.

Responsibilities

• 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

Preferred

• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Non-relational databases
• AWS Redshift
• AWS S3
• AWS Glue
• AWS EMR
• AWS Kinesis
• AWS FireHose
• AWS Lambda
• IAM roles
• permissions

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and 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

Company

• Online retail and cloud computing services
• Seattle, Washington, USA
• https://amazon.com/
• Founded in 1994
• 10001+ employees

Qualifications

• 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
• Experience with SQL
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

Required skills

• AWS EMR, AWS FireHose, AWS Glue, AWS IAM Roles and Permissions, AWS Kinesis, AWS Lambda, AWS S3, Amazon Redshift, Data Engineering, Data Modeling, Data Warehousing, ETL Pipelines, NoSQL Databases, Oracle Database, SQL

Experience

• 3+ years