Data Engineer II, AWS Commerce Platform-ADC

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Job  | Amazon Development Center U.S., Inc.

Final date to receive applications:
Mar 4, 2026

The U.S. ADC Commerce Platform team is looking for a Data Engineer to join us in building, owning, and operating massively scalable solutions in support of the U.S. Intelligence Community. In this role you will join a team of highly talented engineers developing and maintaining Amazon’s billing systems in air‑gapped cloud environments as well as services and tooling to improve how we operate these services.

This role enables you to deliver impact at scale, and the work you do unlocks the latest in billing and cost management capabilities for all of our U.S. ADC customers. A successful Data Engineer is passionate about using data science to answer questions on behalf of customers, optimizes system workflows and identifies other operational efficiencies, plus implements audit and safety controls to ensure availability, reliability, and accuracy.

Note:

This position requires an active TS/SCI with polygraph security clearance. The selected candidate must maintain such clearance throughout their employment.

• Collaboration and Product Development:
  Interact with business and software teams to understand their requirements and operational processes to inform design.
• Data Modeling and Architecture:
  Develop robust data models and architectures that support the organization’s data‑driven initiatives, ensuring data quality, consistency, and accessibility.
• Data Pipelines:
  Maintain existing data sources and integrations while supporting migrations, ingestion, transforms, and new performance/scaling requirements.
• Scalability and Performance:
  Design and implement scalable data solutions that can handle increasing data volumes and support high‑performance data access and querying.
• Documentation & Continuous Improvement:
  Create, enhance, and maintain technical documentation.

• 3+ years of data engineering experience.
• 1+ year of developing and operating large‑scale data structures for business intelligence analytics using ETL/ELT processes.
• Experience with data modeling, warehousing and building ETL pipelines.
• 1+ year of developing and operating large‑scale data structures for business intelligence analytics using data modeling or OLAP technologies.
• 1+ year of developing and operating large‑scale data structures for business intelligence analytics using Oracle or SQL.
• Current, active US Government Security Clearance of TS/SCI with Polygraph.

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions.
• Experience with non‑relational databases / data stores (object storage, document or key‑value stores, graph databases, column‑family databases).

• Denver, Colorado:  –  USD annually
• Jessup, Maryland:  –  USD annually
• Arlington, Virginia:  –  USD annually
• Herndon, Virginia:  –  USD annually
• Seattle, Washington:  –  USD annually

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