Posted today
Top Secret/SCI
$132,100 - $178,800
Polygraph
IT - Database
Herndon, VA (On-Site/Office)
Description
Application deadline: Mar 4, 2026
The US 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.
This position requires that the candidate selected must currently possess and maintain an active TS/SCI with polygraph security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.
10012
Key job responsibilities
- 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
About the team
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
AWS Infrastructure Services (AIS)
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Basic Qualifications
- 3+ years of data engineering experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- Experience with data modeling, warehousing and building ETL pipelines
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling or OLAP technologies experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle or SQL experience
- Current, active US Government Security Clearance of TS/SCI with Polygraph
Preferred Qualifications
- 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)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .
USA, CO, Denver - 132,100.00 - 178,800.00 USD annually
USA, MD, Jessup - 132,100.00 - 178,800.00 USD annually
USA, VA, Arlington - 132,100.00 - 178,800.00 USD annually
USA, VA, Herndon - 132,100.00 - 178,800.00 USD annually
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually
Application deadline: Mar 4, 2026
The US 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.
This position requires that the candidate selected must currently possess and maintain an active TS/SCI with polygraph security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.
10012
Key job responsibilities
- 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
About the team
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
AWS Infrastructure Services (AIS)
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Basic Qualifications
- 3+ years of data engineering experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- Experience with data modeling, warehousing and building ETL pipelines
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling or OLAP technologies experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle or SQL experience
- Current, active US Government Security Clearance of TS/SCI with Polygraph
Preferred Qualifications
- 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)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .
USA, CO, Denver - 132,100.00 - 178,800.00 USD annually
USA, MD, Jessup - 132,100.00 - 178,800.00 USD annually
USA, VA, Arlington - 132,100.00 - 178,800.00 USD annually
USA, VA, Herndon - 132,100.00 - 178,800.00 USD annually
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually
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