Amazon
Data Engineer, WW Ops Finance S&A
$132K–$179K
Bellevue, WA · Full-time · Posted Oct 29, 2026
- Experience
- 3+ years of data engineering experience.
- Education
- Bachelor's degree.
About the job
Build and operate scalable data infrastructure, data models, and ETL pipelines for Amazon Supply Chain Operations Finance, supporting reporting, analytics, and AI-related workflows.
What you'll do
- Design, build, and maintain data solutions and ETL pipelines; ensure data quality and reliable operations.
- Develop data architecture and analytics infrastructure for Finance customers and integrate data from varied sources.
- Collaborate with business and technology teams to deliver data projects and improve processes and self-service support.
What they ask for
- Experience with data modeling, warehousing, and building ETL pipelines.
- Bachelor's degree.
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
- Knowledge of distributed systems as it pertains to data storage and computing.
Nice to have
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
- Experience with non-relational databases or large-scale, high-throughput, 24x7 data systems.
Pay
132,100.00 - 178,800.00 USD annually (base salary)
Tools
Python, Airflow, SQL, Spark, AWS CodeDeploy, AWS CodePipeline, AWS Cloud Development Kit (CDK), AWS Cloud Formation
AI focus
Curate data for GenAI models and identify ways to incorporate AI-driven workflows for builder and customer communities.
Model-written summary · the original posting is authoritative