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Amazon.com Services LLC

Data Engineer

Amazon.com Services LLC
Seattle, WA $132k - $179k/yr Full time Posted 5d ago
Amazon Emr Amazon Web Services AWS Big Data Cloud Cloud Computing Cloud Platforms Data Architecture Data Engineer Data Integration Data Lake Data Pipeline Data Platform Data Processing Data Warehouse Database Databases ETL Firehose SQL
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Job Description

Compensation and culture at a glance: This onsite Seattle Data Engineer role sits within Amazon's Prime Video Commerce Analytics team. You will design and implement scalable data infrastructure and pipelines on AWS to serve more than 50 downstream teams. The position offers a competitive annual salary range of USD 132,100 to 178,800, a comprehensive benefits package, and a data‑driven, cross‑functional environment that emphasizes collaboration across business intelligence, data engineering, and product management.

Benefits

  • Health coverage including medical, dental, vision, prescription, Basic Life and AD&D insurance with options for supplemental life plans; Employee Assistance Program and Mental Health Support; Flexible Spending Accounts; Adoption and Surrogacy Reimbursement
  • 401(k) matching
  • Paid time off
  • Parental leave
  • Sign‑on payments
  • Restricted stock units (RSUs)

Responsibilities

  • Design complex data pipelines and models powering subscription, transaction, and device registration datasets
  • Deliver scalable data solutions on native AWS infrastructure
  • Develop data quality validation frameworks and monitoring solutions 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
  • Experience with SQL

Technologies

  • Redshift, EMR, Spark
  • Andes Data Lake
  • AWS: S3, Glue, Kinesis, Firehose, Lambda, IAM
  • SQL

About the Team

The team is primarily based in Seattle with additional presence in New York and London. It operates as 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 commercial and analytical needs. The team builds intelligent systems that integrate content and data to deliver personalized customer experiences across streaming, live events, and emerging formats.

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