Amazon
Data Engineer, Amazon Prime
$132K–$179K
Seattle, WA · Full-time · Posted Oct 15, 2026
- Experience
- 3+ years of data engineering experience.
About the job
Builds and operates large-scale data infrastructure and pipelines supporting Prime’s machine-learning, science, and analytics products.
What you'll do
- Build and maintain reliable, high-throughput data pipelines for machine-learning applications and terabyte-scale datasets.
- Improve data infrastructure and implement production data-quality monitoring and alerting.
- Partner with scientists and analysts to create data models and analysis-ready datasets; evaluate generative AI tools for workflow automation.
What they ask for
- Experience with data modeling, warehousing, and ETL pipelines.
- Experience manipulating, processing, and extracting value from large datasets in a data engineering or related role.
- Knowledge of software engineering practices across the software development life cycle.
- Experience with at least one of Python, Java, Scala, or NodeJS.
Nice to have
- Experience with AWS technologies, including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
- Experience with non-relational data stores or highly available distributed data-processing systems.
Pay
132,100.00 - 178,800.00 USD annually (base salary)
Tools
AWS Glue, Spark, Amazon EMR, EMR Serverless, Amazon S3, AWS Lambda, Amazon DynamoDB, Python
AI focus
Supports machine-learning applications and scientific models; evaluates generative AI tools to automate data workflows and improve team productivity.
Model-written summary · the original posting is authoritative