Amazon
Data Engineer, WW Ops Finance - S&A
$132K–$179K
Bellevue, WA · Full-time · Posted Sep 23, 2026
- Experience
- 3+ years of data engineering; 1+ years in each of the stated large-scale BI data structure areas.
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
About the job
Build and operate scalable data infrastructure and discovery platform capabilities that help global Finance teams find, trust, and use data.
What you'll do
- Build and maintain data pipelines, ETL workflows, data models, metadata frameworks, and catalog systems.
- Develop platform microservices and APIs, data quality monitoring, and automated self-service onboarding workflows.
- Collaborate with business and engineering partners; contribute to GenAI features and operational excellence.
What they ask for
- 3+ years of data engineering experience.
- 1+ years developing and operating large-scale BI data structures using OLAP technologies, SQL, Oracle, and ETL/ELT processes.
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
- Experience with data modeling, warehousing, and building ETL pipelines.
Nice to have
- Experience with AWS technologies, including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, and IAM roles and permissions.
- Experience with non-relational data stores or Apache Spark / Elastic Map Reduce.
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 enhance data discovery and analytics; platform includes an AI assistant.
Model-written summary · the original posting is authoritative