Amazon
Data Engineer, Amazon Live Data Engineering, Sciences and Analytics (DESA)
$132K–$179K
Seattle, WA +1 · Full-time · Posted Oct 19, 2026
- Location
- Seattle, WA
SEATTLE, WA - Experience
- 3+ years of data engineering experience.
About the job
Builds reusable, well-modeled data assets and pipelines that support reporting, machine learning, and Amazon Live’s ranking and personalization systems.
What you'll do
- Build and integrate reusable datasets for content metadata, shopper profiles, retail catalog, and advertising performance.
- Produce ML-ready datasets and features for scientist models and downstream ranking and personalization systems.
- Improve data quality and platform engineering, including monitoring, anomaly detection, ETL CI/CD, and AI-assisted development.
What they ask for
- Experience with data modeling, warehousing, and building ETL pipelines.
- Experience with SQL.
Nice to have
- Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
- Experience with non-relational databases or data stores.
Pay
132,100.00 - 178,800.00 USD annually (base salary)
Tools
SQL, Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda
AI focus
Build structured, ML-ready datasets and features for models, ranking, and personalization; use and help advance AI-assisted code generation, review, and agentic tooling.
Model-written summary · the original posting is authoritative