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Data Engineer

Amazon· Amazon Live Data Engineering, Sciences and Analytics (DESA)
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Seattle, WA$132.1k - $178.8kFull-timePosted yesterday

About the role

Data Engineer to design and build durable, ML-ready data assets and support analytics and model-driven workflows for Amazon Live. Own forward-looking data architecture to serve dashboards, model training, and downstream ML systems, collaborating with Applied Scientists, MLEs, DEs, and BIE in a fast-paced environment.

Responsibilities

  • Design and build a content metadata layer that unifies broadcast events, product catalog data, creator profiles, and show metadata into reusable assets consumed by both dashboards and models.
  • Build cross-session shopper profile datasets that sessionize event data across visits and compute rolling engagement metrics (frequency, recency, depth, conversion lag).
  • Build integration pipelines connecting retail catalog and advertising performance data into the Amazon Live platform, unlocking new dimensions for analytics and ML.
  • Produce structured, ML-ready datasets that feed Applied Scientists' models and serve features to downstream ranking and personalization systems.
  • Own and advance data quality: proactive monitoring and anomaly detection so the team stays ahead of issues.
  • Advance platform engineering maturity — CI/CD for ETL (BDT/Maestro), standardized deployment, and AI-assisted code generation and review.
  • Partner with Applied Scientists, MLEs, DEs, and the BIE to align data assets to model, serving, and reporting needs.

Qualifications

  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with SQL

Skills

Required:Data modelingETL pipelinesSQL
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

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