This senior data engineering role at Booz Allen Hamilton focuses on designing and delivering AI enabled data pipelines and platforms, integrating diverse data sources, and guiding cross functional teams on mission driven projects in restricted environments. The position is onsite at Nellis AFB, NV with a salary range of USD 77,600 to 176,000 per year.
Responsibilities
- Build advanced technology solutions and implement data engineering activities on mission driven projects; deploy and develop pipelines and platforms that organize disparate data.
- Guide a multi disciplinary team of analysts, data engineers, developers, and data consumers in a fast paced, agile environment.
- Apply analytical exploration and data examination while managing the assessment, design, building, and maintenance of scalable platforms for clients.
Requirements
- 6+ years of experience architecting and delivering AI enabled mission or enterprise systems, including data integration, secure compute environments, and operator facing applications in restricted or classified settings.
- 6+ years designing and implementing data pipelines, ontologies, and application workflows on platforms such as Palantir Foundry or Gotham, including airgapped, degraded connectivity, or multiclassification environments.
- 6+ years developing secure analytics ecosystems, including log pipelines, monitoring frameworks, operational dashboards, or intelligence fusion platforms in greenfield or modernization efforts.
- 6+ years implementing DevSecOps practices, including containerization, orchestration, CI / CD, and automated testing within constrained or limited toolchain environments.
- 6+ years integrating AI / ML capabilities into production workflows or operator tooling, such as LLM enabled assistants, model augmented decision aids, or automation solutions.
- 6+ years making architectural tradeoffs under constrained mission conditions, including limited infrastructure, fragmented networks, evolving requirements, or high pressure timelines.
- Experience rapidly learning unfamiliar technologies, and supporting engineering teams through implementation.
- Experience communicating architectural decisions and solution impacts to engineers, government clients, and senior nontechnical stakeholders.
- Secret clearance.
- Bachelor’s degree.
Technologies
- Palantir Foundry
- Gotham
- Kubernetes
- AWS
Benefits
- Health insurance
- Life insurance
- Disability
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work life programs
- Dependent care
The Opportunity
Advancements in IoT, machine learning, and artificial intelligence mean more structured and unstructured data is available than ever before. As a data engineer, you organize data gathered from diverse sources to reveal critical insights. Booz Allen seeks an experienced professional to help clients derive value from their data on missions ranging from fraud detection to cancer research and national intelligence.
In this role you will help build advanced technology solutions and deploy data pipelines and platforms that render disparate data meaningful. You will lead and collaborate with analysts, data engineers, developers, and data consumers in a fast paced, agile environment, applying your expertise in data exploration while shaping scalable platforms for clients.
Join us to apply data for good and contribute to mission focused outcomes.
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
Salary range: USD 77,600 - 176,000 per year.
Identity Verification
As part of the hiring process, you will be asked 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 identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of Booz Allen's daily work, and responsible use of AI tools is required. The use of artificial intelligence or other tools to assist with responses during interviews is prohibited unless permission is explicitly provided.
Work Model
Our people first culture prioritizes collaboration, whether in person or virtually. For virtual engagements, cameras are generally expected to be on during meetings to support effective communication.
Remote: If 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 listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
Onsite: If listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where you 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, protected veteran status, or any other status protected by applicable federal, state, local, or international law.
