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
Designs and operates scalable data infrastructure, pipelines, and data models for Operations Finance reporting, analytics, and AI-related use cases.
What you'll do
- Build and maintain data solutions and ETL pipelines using Python, Spark, SQL, and AWS services.
- Develop data architecture and analytics infrastructure for Finance customers, ensuring data quality and reliability.
- Collaborate with business and technology teams to deliver data projects, improve processes, and resolve operational issues.
What they ask for
- Experience with data modeling, warehousing, and building 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 as it pertains to data storage and computing.
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 data stores or large-scale, high-throughput, 24x7 data systems.
Pay
USD 132,100.00 - 178,800.00 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