Booz Allen
DataEngineer,Senior
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Engineer, Senior at Booz Allen. Skills: Data Engineering, AI/ML Integration, DevSecOps, System Architecture, Data Pipelines. build advanced technology solutions. implement data engineering activities”
What You'll Achieve.
impact important missions; increase engineering throughput; reduce operator workload
Industry & Context.
find answers in their data; analytical exploration; data examination; making architectural tradeoffs under constrained mission conditions
Secret clearance, Top Secret clearance, on camera during interviews and assessments, expected to have their cameras on during meetings
What They're Looking For.
Must Have
6+ 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, 6+ 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, 6+ years of experience developing secure analytics ecosystems, including log pipelines, monitoring frameworks, operational dashboards, or intelligence fusion platforms in greenfield or modernization efforts, 6+ years of experience implementing DevSecOps practices, including containerization, orchestration, CI/CD, and automated testing within constrained or limited toolchain environments, 6+ 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, 6+ years of experience making architectural tradeoffs under constrained mission conditions, including limited infrastructure, fragmented networks, evolving requirements, or high pressure timelines, 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
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 serving in a technical lead capacity responsible for system design and delivery, Experience participating in tiger teams, flyaway teams, or rapid response missions requiring accelerated delivery under complex conditions, Top Secret clearance, AWS, Palantir Foundry or Gotham, Kubernetes, or comparable architecture frameworks certifications
What You'll Do.
build advanced technology solutions
implement data engineering activities
deploy and develop pipelines and platforms that organize and make disparate data meaningful
manage the assessment
and maintenance of scalable platforms
How You'll Work.
Team & Collaboration
guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment; supporting engineering teams through implementation; communicating architectural decisions and solution impacts to engineers, government clients, and senior nontechnical stakeholders
Communication Scope
communicating architectural decisions and solution impacts to engineers, government clients, and senior nontechnical stakeholders
Process & Methodology
agile environment
Full Job Description
Data Engineer, Senior **The Opportunity:** 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 like you to help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence. 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. Here, 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. Work with us to use data for good. Join us. The world can’t wait. **You Have:** * 6+ 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 * 6+ 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 * 6+ years of experience developing secure analytics ecosystems, including log pipelines, monitoring frameworks, operational dashboards, or intelligence fusion platforms in greenfield or modernization efforts * 6+ years of experience implementing DevSecOps practices, including containerization, orchestration, CI/CD,
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