Remote Senior Data Engineer — AI & Secure Pipelines

Booz Allen Hamilton; United States; On-site; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton is seeking a Data Engineer to lead data engineering initiatives across mission-driven projects, from fraud detection to health research. You’ll design and deploy pipelines, mentor a multidisciplinary team, and oversee scalable data platforms that turn disparate sources into actionable insights.

This role demands 10+ years of experience across AI-enabled systems, secure analytics, and DevSecOps, with a secret clearance.

Qualifications

• 10+ years architecting 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 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 or limited 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 operational 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

Responsibilities

• Oversee the development and deployment of data pipelines and platforms that organize and make disparate data meaningful.
• Mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.
• Oversee assessment, design, building, and maintenance of scalable data platforms for clients.
• Guide data engineering activities and ensure secure compute environments and operator-facing applications.
• Collaborate with government clients and senior stakeholders to communicate architectural decisions and impact.

Skills

AI/ML integration

Data pipelines design

DevSecOps

Secure analytics ecosystems

Architectural tradeoffs

Stakeholder communication

Security clearance

Education

Bachelor’s degree

Job description

Booz Allen Hamilton is seeking a Data Engineer to lead data engineering initiatives across mission-driven projects, from fraud detection to health research. You’ll design and deploy pipelines, mentor a multidisciplinary team, and oversee scalable data platforms that turn disparate sources into actionable insights.

This role demands 10+ years of experience across AI-enabled systems, secure analytics, and DevSecOps, with a secret clearance.