Data Engineer, Lead

The Opportunity:

Are you looking for an opportunity to architect and build enterprise data infrastructure that supports national security missions? You understand how to connect distributed systems, engineer reliable data pipelines, and make data usable across organizational and technical boundaries. You can translate mission requirements into practical architectures and carry those designs through implementation and sustained operations.

As a Data Engineering lead on our team, you’ll lead technical delivery supporting Department of the Air Force data, analytics, and AI missions. You’ll design and implement secure data architectures across cloud, hybrid, and on-premises environments, integrating authoritative sources and delivering trusted data products for analysts, applications, and AI capabilities.

You’ll remain hands-on: developing critical components, reviewing code, diagnosing production problems, and making engineering decisions about scalability, reliability, security, and cost. Working with mission owners, platform teams, data scientists, and cybersecurity professionals, you’ll establish reusable engineering practices and mentor other engineers.

Join us. The world can’t wait.

You Have:

• 7+ years of experience with data engineering, including technical ownership of production enterprise data infrastructure supporting DoW/DoD missions
• Experience architecting and implementing secure data integration across cloud and on-premises environments, including batch and streaming pipelines
• Experience with Python and SQL applied to complex data transformations, distributed processing, and production performance troubleshooting
• Experience designing governed data architectures with metadata, lineage, data quality, and access controls that enable enterprise discovery and reuse
• Experience leading hands-on engineering delivery and making architectural decisions involving scalability, reliability, security, and cost
• Secret clearance
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a technology field

Nice If You Have:

• Experience implementing data fabric capabilities, federated queries, semantic layers, or domain-oriented data products
• Experience engineering AI-ready data infrastructure, including feature stores, vector databases, or pipelines supporting RAG and model training
• Experience delivering data solutions across classified environments, approved cross-domain transfers, or disconnected operational environments
• TS/SCI clearance

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.