Senior Data Engineer at Booz Allen Hamilton (onsite at Nellis AFB, NV) responsible for designing and delivering AI powered data pipelines and platforms, integrating diverse data sources, and guiding cross-functional teams on mission driven projects in restricted environments.
Responsibilities
- Design and deploy advanced data engineering solutions on mission oriented programs, building pipelines and platforms that organize disparate data into actionable insights.
- Lead and mentor a multidisciplinary team of analysts, data engineers, developers, and data consumers in an agile, fast paced setting.
- Apply analytical exploration to oversee the assessment, design, construction, and maintenance of scalable data platforms for clients.
Requirements
- Six or more years shaping and delivering AI enabled mission or enterprise systems, including data integration, secure compute environments, and operator facing applications in restricted or classified settings.
- Six or more years designing and implementing data pipelines, ontologies, and application workflows on Palantir Foundry or Gotham, including airgapped, degraded connectivity, or multiclassification environments.
- Six or more years building secure analytics ecosystems, including log pipelines, monitoring frameworks, operational dashboards, or intelligence fusion platforms in greenfield or modernization efforts.
- Six or more years practicing DevSecOps, including containerization, orchestration, CI/CD, and automated testing within constrained toolchain environments.
- Six or more years integrating AI and ML capabilities into production workflows or operator tooling, such as LLM enabled assistants, model augmented decision aids, or automation solutions.
- Six or more years evaluating architectural tradeoffs under constrained mission conditions, including limited infrastructure, fragmented networks, evolving requirements, or high pressure timelines.
- Proven ability to rapidly learn unfamiliar technologies and support engineering teams through implementation.
- Experience communicating architectural decisions and 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 benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work life programs
- Dependent care support
The Opportunity
Advances in IoT, machine learning, and artificial intelligence are expanding the volume of structured and unstructured data. As a data engineer, your role is to organize data from diverse sources to unlock pivotal insights that influence critical missions, from fraud detection to cancer research to national intelligence.
At Booz Allen, you will help build cutting edge technology solutions and implement data engineering activities on mission driven projects. You will deploy and develop pipelines and platforms that render disparate data meaningful and usable for stakeholders.
Collaborate with and guide a cross functional team of analysts, data engineers, developers, and data consumers in a fast paced, agile environment, managing the design, build, and maintenance of scalable platforms for clients.
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: USD 77,600 - 176,000 per year
Identity verification
As part of the hiring process, Booz Allen may use biometric and AI based identity verification to ensure authenticity and protect against fraud. Interviews and assessments may be conducted on camera, and a photo may be captured to verify identity.
Candidate AI Usage Policy
AI tools are a part of Booz Allen's workflow, but the use of artificial intelligence to assist with interview responses is prohibited unless explicit permission is granted.
Work Model
- Remote: If listed as remote, there may still be occasions requiring in person work at a Booz Allen or customer facility.
- Hybrid: If listed as hybrid, you will be expected to work from a Booz Allen facility frequently, with possible visits to a customer facility.
- Onsite: Work will primarily be performed at a Booz Allen office or customer facility, with direct collaboration in person as required.
- Camera on policy: For virtual work, employees are generally expected to keep cameras on during meetings to support engagement.
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 law.
