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Amazon.com Services LLC

Data Engineer

Amazon.com Services LLC
Seattle, WA $132k - $179k/yr Full time Posted 25d ago
Analytics AWS Big Data Business Intelligence Cloud Operations Data Analysis Data Analytics Data Architecture Data Engineer Data Governance Data Integration Data Pipeline Data Platform Data Processing Data Warehouse Database ETL SQL
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Job Description

The Data Engineer II will join the Prime Video Product Analytics (PVPA) team in Seattle, onsite, to build and maintain data infrastructure and ETL pipelines for out-of-app and full-funnel customer journey analytics. This role supports analytics, experimentation, ML use cases, and personalization through robust data tooling and reliable pipelines. The position offers a salary range of USD 132,100 to 178,800 per year.

Responsibilities

  • Design, implement, and maintain scalable 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.
  • Develop and enhance AI tooling and analytics products to support self-service and improved efficiency.
  • Collaborate with engineering and dependency teams to define data contracts, ensure upstream data reliability, and coordinate changes for data schema updates.
  • Work with Business Intelligence Engineers and Data Scientists to deliver clean, structured data for dashboards, experimentation, full-funnel attribution, and ML use cases.
  • Monitor pipeline health, troubleshoot jobs and clusters, and advance automation, testing, and observability to strengthen system resilience.
  • Promote data engineering best practices across the team, including documentation, version control, peer reviews, and operational excellence.

Requirements

  • Minimum of 3 years of data engineering experience
  • Experience with data modeling, data warehousing, and building ETL pipelines
  • At least 3 years analyzing and interpreting data with Redshift, Oracle, NoSQL databases, and related technologies
  • Proficiency in SQL

Technologies

  • Redshift
  • Oracle
  • NoSQL
  • SQL
  • Amazon S3
  • AWS Glue
  • EMR
  • Kinesis
  • Firehose
  • Lambda
  • IAM

Benefits

  • Health coverage including medical, dental, vision, prescription drugs, Basic Life and AD&D insurance with option for supplemental life plans, EAP, mental health support, medical advice line, flexible spending accounts, and adoption or surrogacy reimbursement
  • 401(k) matching
  • Paid time off
  • Parental leave
  • Sign-on payments and restricted stock units (RSUs)

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