Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Booz Allen Hamilton

Data Engineer

Booz Allen Hamilton

. Build advanced technology solutions and lead data engineering activities on mission-driven projects .

Posted 9/30/2026full-timeBedford • Massachusetts • United StatesSeniorLead💰 $99,000 - $225,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in architecting AI-enabled systems and deploying data pipelines in secure environments, while mentoring cross-functional teams and communicating effectively with stakeholders. Proficient in implementing DevSecOps practices and integrating AI/ML capabilities into production workflows.

Highest-signal resume keywords
AI-Enabled System ArchitectureData Pipeline Design and DeploymentDevSecOps ImplementationSecure Analytics Ecosystem DevelopmentSecret Clearance

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data IntegrationApplication Workflow DesignContainerizationOrchestrationCI/CDAutomated TestingAI/ML IntegrationMonitoring FrameworksOperational DashboardsIntelligence Fusion Platforms
Soft Skills
MentoringCommunicationAnalytical ExplorationTeam Leadership
Tools & Technologies
Palantir FoundryGotham
Certifications & Qualifications
Bachelor’s DegreeSecret Clearance
Industry Keywords
Mission-Driven ProjectsClassified SettingsGreenfield ModernizationLegacy ModernizationConstrained Environments

About the role

Key responsibilities & impact
  • Build advanced technology solutions and lead data engineering activities on mission-driven projects
  • Guide development and deployment of pipelines and platforms that organize disparate data
  • Mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers
  • Conduct analytical exploration and data examination
  • Oversee assessment, design, building, and maintenance of scalable client platforms

Requirements

What you’ll need
  • 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 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
  • 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 non-technical stakeholders
  • Secret clearance required
  • Bachelor’s degree
  • Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information

Benefits

Comp & perks
  • Health benefits
  • Life insurance
  • Disability benefits
  • Financial benefits
  • Retirement benefits
  • Paid leave
  • Professional development
  • Tuition assistance
  • Work-life programs
  • Dependent care
  • Recognition awards program for exceptional performance and superior demonstration of values