Amazon
Data Engineer, WW Ops Finance - S&A
$132K–$179K
Bellevue, WA · Full-time · Posted Sep 1, 2026
- Experience
- 3+ years of data engineering experience
- Education
- Bachelor's degree
About the job
Builds and scales data infrastructure, pipelines, metadata systems, and platform services that help global Finance teams discover and use trusted data.
What you'll do
- Design and maintain scalable data pipelines, ETL workflows, and data models.
- Build metadata and catalog systems, APIs, and self-service capabilities for data discovery and ingestion.
- Implement data quality monitoring and collaborate with stakeholders on scalable solutions and operational improvements.
What they ask for
- Experience with data modeling, warehousing, and ETL pipelines.
- Bachelor's degree.
- Experience with at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
- Knowledge of distributed systems for data storage and computing.
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 databases or data stores.
Pay
132,100.00 - 178,800.00 USD annually (base salary)
Tools
Python, SQL, AWS, S3, Glue, Redshift, Lambda, EMR
AI focus
Contribute to GenAI-powered features and AI-driven workflows that improve data discovery and analytics; the platform includes an AI assistant.
Model-written summary · the original posting is authoritative