In Honolulu, Booz Allen is seeking a Data Engineer to lead the development and deployment of data pipelines and platforms that organize disparate data for mission-driven projects. The role includes mentoring a multidisciplinary team and shaping scalable data solutions within a security-conscious, onsite environment.
Responsibilities
- Lead the creation and deployment of advanced data solutions and guide data engineering activities on mission-driven initiatives.
- Oversee the development of pipelines and platforms that organize disparate data into meaningful, usable formats.
- Mentor a cross-functional team of analysts, data engineers, developers, and data consumers in an agile setting.
- Apply analytical exploration and data examination while directing the design, construction, and maintenance of scalable client platforms.
Requirements
- 10+ 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.
- 10+ years designing and deploying data pipelines, ontologies, and workflows on platforms such as Palantir Foundry or Gotham, including air-gapped, degraded connectivity, or multiclassification environments.
- 10+ years developing secure analytics ecosystems, including log pipelines, monitoring frameworks, dashboards, or intelligence fusion platforms in greenfield or modernization efforts.
- 10+ years implementing DevSecOps practices, including containerization, orchestration, CI/CD, and automated testing within constrained toolchain environments.
- 10+ years integrating AI/ML capabilities into production workflows or operator tooling, such as LLM-enabled assistants, model-augmented decision aids, or automation solutions.
- 10+ years making architectural tradeoffs under constrained mission conditions, including limited infrastructure, fragmented networks, evolving requirements, or high-pressure timelines.
- Experience rapidly learning unfamiliar technologies, developing hands-on proficiency, and guiding engineering teams through full lifecycle implementation.
- Experience communicating architectural decisions and solution impacts to engineering teams, government clients, and senior nontechnical stakeholders.
- Secret clearance
- Bachelor's degree
Technologies
- Palantir Foundry
- Gotham
- AWS
- Kubernetes
Benefits
- Health benefits
- Life benefits
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Employee recognition program
Nice to have
- Experience supporting multi-cloud, multi enclave, or multiclassification architectures, including environments spanning NIPR, SIPR, JWICS, or coalition networks
- Experience contributing to major defense programs or largescale systems integration efforts, including navigating acquisition, compliance, or bureaucratic constraints
- Experience supporting DoD installations, operational units, or C2 systems in environments with incomplete documentation, degraded systems, or inconsistent technical baselines
- Experience developing agentic workflows, automation pipelines, or custom tooling that improved engineering velocity or reduced operator burden
- Experience serving as a senior technical lead or architect responsible for end-to-end solution delivery
- Experience working on tiger teams, flyaway teams, or rapid response engineering missions requiring accelerated delivery under complex conditions
- Top Secret clearance
- Architecture frameworks Certifications such as AWS, Palantir Foundry or Gotham, or Kubernetes Certification
Clearance
Secret clearance is required.
Compensation
The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). Salary is determined by location, education, knowledge, skills, competencies, experience, contract affordability, and organizational requirements.
Identity Statement
As part of the hiring process, applicants may undergo an identity verification process that uses biometrics and artificial intelligence to ensure authenticity and prevent fraud. Interviews and assessments may require being on camera, and Booz Allen may capture images to verify identity.
Candidate AI Usage Policy
AI tools are part of Booz Allen's daily work, but candidate responses during interviews are not allowed unless explicit permission is provided.
Work Model
Onsite roles are conducted primarily at Booz Allen facilities or customer sites. Remote roles may require occasional in-person work. Hybrid roles require frequent presence at a Booz Allen facility, with possible visits to customer facilities.
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.
