In Honolulu, Booz Allen's Data Engineer role centers on designing and deploying data pipelines and platforms that transform disparate data into actionable insights for mission-driven projects. The position also emphasizes mentoring a multidisciplinary team and guiding scalable data solutions that support client objectives in a demanding, on-site environment.
Responsibilities
- Lead data engineering activities on mission-driven projects, leveraging expertise to build advanced technology solutions.
- Oversee the development and deployment of pipelines and platforms that organize disparate data and render it meaningful for stakeholders.
- Mentor a cross-functional team of analysts, data engineers, developers, and data consumers in an agile setting.
- Apply analytical exploration and data examination skills while guiding the design, construction, and maintenance of scalable platforms for clients.
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 of experience designing and deploying data pipelines, ontologies, and application workflows on platforms such as Palantir Foundry or Gotham, including air-gapped, degraded connectivity, or multiclassification environments
- 10+ years of experience developing secure analytics ecosystems, including log pipelines, monitoring frameworks, operational dashboards, or intelligence fusion platforms in greenfield or legacy modernization efforts
- 10+ years of experience implementing DevSecOps practices, including containerization, orchestration, CI/CD, and automated testing within constrained toolchain environments
- 10+ 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
- 10+ years of experience making architectural tradeoffs under constrained mission conditions, including limited infrastructure, fragmented networks, evolving requirements, or high-pressure timelines
- Proven ability to rapidly learn unfamiliar technologies, develop hands-on proficiency, and guide engineering teams through full lifecycles
- 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 If You Have
- Experience supporting multi-cloud, multi-enclave, or multiclassification architectures across networks such as NIPR, SIPR, JWICS, or coalition networks
- Experience contributing to large defense programs or systems integration, navigating acquisition, compliance, or bureaucratic constraints
- Experience supporting DoD installations, operational units, or C2 systems in environments with incomplete documentation or degraded baselines
- Experience developing agentic workflows, automation pipelines, or custom tooling to improve engineering velocity or reduce 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 framework certifications such as AWS, Palantir Foundry or Gotham, or Kubernetes
Clearance
Secret clearance is required.
Compensation
The compensation range for this role is $99,000.00 to $225,000.00 (annualized USD). Booz Allen determines salary based on location, education, knowledge, skills, competencies, and experience, along with contract-specific feasibility and organizational requirements.
Identity Statement
As part of the hiring process, you will complete an identity verification process that uses advanced biometrics and artificial intelligence to verify authenticity and prevent fraud. Interviews and assessments may require you to be on camera, and Booz Allen may capture your likeness for identity verification.
Candidate AI Usage Policy
AI tools are part of Booz Allen's daily work, and the company supports responsible AI use. For candidate assessments, the use of artificial intelligence or other tools to assist with responses is prohibited unless explicit permission is provided.
Work Model
Onsite: This role is based primarily at a Booz Allen office or customer facility, with collaboration across teams and clients 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 law.
