At Booz Allen Hamilton, the Senior Data Engineer designs and delivers AI-enabled data pipelines and platforms that unify diverse data sources for mission-driven work in restricted environments. This onsite role at Nellis AFB, NV, partnerships with cross-functional teams to turn complex data into actionable insights while upholding stringent security and operational requirements.
Responsibilities
- Build advanced technology solutions and execute data engineering activities on mission-driven projects; deploy and develop pipelines and platforms that organize disparate data into meaningful formats.
- Collaborate with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile setting.
- Leverage experience in analytical exploration and data examination to manage 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 of experience 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 of experience developing secure analytics ecosystems, including log pipelines, monitoring frameworks, operational dashboards, or intelligence fusion platforms in greenfield or modernization efforts
- 6+ years of experience implementing DevSecOps practices, including containerization, orchestration, CI / CD, and automated testing within constrained or limited toolchain environments
- 6+ years of experience integrating AI / ML capabilities into production workflows or operator tooling, such as LLM enabled assistants, model augmented decision aids, or automation solutions
- 6+ years of experience 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
Advances in IoT, machine learning, and artificial intelligence have expanded the volume and variety of data available. A data engineer in this role helps clients extract meaningful insights from both structured and unstructured sources to inform high-stakes missions, from fraud detection to cancer research to national intelligence.
As a data engineer at Booz Allen, you will contribute to building sophisticated technology solutions and applying data engineering activities on some of the industry’s most mission-driven initiatives. You will deploy pipelines and platforms that organize disparate data into usable formats and support scalable architectures for clients.
You will work alongside analysts, engineers, developers, and data consumers in a fast-paced, agile setting, applying your analytical exploration skills to guide the design, construction, and ongoing maintenance of robust platforms.
The role emphasizes using data for good and making a tangible impact through your technical leadership.
Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. A Secret clearance is required.
Compensation
Salary range: USD 77,600 - 176,000 per year.
Identity Verification
As part of the hiring process, Booz Allen conducts an identity verification process that may include biometrics and advanced technologies to ensure authenticity and prevent fraud. Interviews and assessments may require on-camera participation, and Booz Allen may take a photo to verify identity.
Candidate AI Usage Policy
AI is integrated into Booz Allen's daily operations, and the company supports responsible AI use. For candidate interviews, the use of artificial intelligence tools to assist with responses is prohibited unless explicitly permitted.
Work Model
- Onsite: This position is located at Booz Allen facilities or customer sites, with collaboration conducted in person as required.
- Hybrid: The role may require frequent work from a Booz Allen facility, with potential visits to customer facilities in alignment with needs and leadership expectations.
- Remote: Some flexibility may exist, but in-person work at Booz Allen or customer sites is common for this role.
Commitment to Non-Discrimination
Booz Allen provides equal opportunity to all qualified applicants without regard to disability, veteran status, or any other status protected by applicable law.
