Data Engineer

Booz Allen Hamilton

Nellis Air Force Base Census-Designated Place (NV)

Hybrid

USD 61,900 - 141,000

Full time

14 days+

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Job summary

Booz Allen Hamilton is seeking an experienced Data Engineer to help build advanced technology solutions for critical missions. You will be instrumental in organizing data from disparate sources, deploying data pipelines and platforms, and guiding a diverse team in a fast-paced environment.

The ideal candidate should possess strong experience in architecting AI-enabled systems, managing secure analytics ecosystems, and have a Bachelor's degree. Work may be remote, hybrid, or onsite as required.

Qualifications

  • 2+ years of experience architecting AI-enabled enterprise systems.
  • Developing data pipelines and workflows in classified environments.
  • Experience in building secure analytics ecosystems.

Responsibilities

  • Organize and make disparate data meaningful.
  • Develop pipelines and platforms for data solutions.
  • Guide a team of analysts and engineers in an agile environment.

Skills

Data integration
AI enabled systems
Data pipelines
Secure analytics ecosystems
Communication
Rapid technology learning

Education

Bachelor's degree

Tools

Palantir Foundry
Kubernetes

Job description

Job Number

R0243381

Job Title

Data Engineer

Overview

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer to help our clients find answers in their data to impact important missions, from fraud detection to cancer research to national intelligence.

Responsibilities

As a data engineer at Booz Allen, you’ll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful. You’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.

Qualifications
  • 2+ 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
  • 2+ years of experience designing and implementing data pipelines, ontologies, and application workflows on platforms such as Palantir Foundry or Gotham, including airgapped, degraded connectivity, or multiclassification environments
  • 2+ years of experience developing secure analytics ecosystems, including log pipelines, monitoring frameworks, operational dashboards, or intelligence fusion platforms in greenfield or modernization efforts
  • Experience rapidly learning unfamiliar technologies, and supporting engineering teams through implementation
  • Experience communicating architectural decisions and solution impacts to engineers, government clients, and senior nontechnical stakeholders
  • Secret clearance
  • Bachelor’s degree
Nice to Have
  • 3+ years of experience implementing DevSecOps practices, including containerization, orchestration, CI/CD, and automated testing within constrained or limited toolchain environments
  • 3+ 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
  • 3+ years of experience making architectural tradeoffs under constrained mission conditions, including limited infrastructure, fragmented networks, evolving requirements, or high-pressure timelines
  • Experience supporting multi cloud, multi enclave, or multiclassification architectures, including environments spanning NIPR, SIPR, JWICS, or coalition networks
  • Experience contributing to defense programs or large systems integration efforts involving acquisition, compliance, or organizational complexity
  • Experience supporting DoD installations, operational units, or C2 systems in environments with incomplete documentation or inconsistent technical baselines
  • Experience developing agentic workflows, automation pipelines, or custom tooling to increase engineering throughput or reduce operator workload
  • Experience participating in tiger teams, flyaway teams, or rapid response missions requiring accelerated delivery under complex conditions and serving in a technical lead capacity responsible for system design and delivery
  • Top Secret clearance
  • Architecture frameworks Certification such as AWS, Palantir Foundry, Gotham, or Kubernetes Certification
Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

Salary range: $61,900.00 to $141,000.00 (annualized USD). Salary determined by various factors. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. The use of artificial intelligence (AI) or other tools to assist with responses during interviews is prohibited unless permission is explicitly provided.

Work Model
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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