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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

Based in Seattle on site, the Data Engineer II role sits within the Prime Video Product Analytics team, focusing on building data infrastructure and ETL pipelines for out-of-app and full-funnel analytics. It supports analytics, experimentation, ML use cases, and personalization through robust data tooling and reliable data 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 cover the full customer funnel, including the reporting layer for the out-of-app messaging platform and other PV marketing channel infrastructure.
  • Build and enhance AI tooling and analytics products to enable self-serve access 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.

Requirements

  • 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, or equivalent technologies
  • Proficiency in SQL

Technologies

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

Benefits

  • Comprehensive health coverage including medical, dental, vision, and prescription benefits, plus basic life and additional insurance options, access to mental health resources, and supportive programs.
  • 401(k) with company match
  • Paid time off and parental leave provisions
  • Sign-on payments and restricted stock units (RSUs)

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