Data Engineer, Senior

At Booz Allen, your growth matters to us – explore our career development opportunities.

As a Senior Data Engineer, you’ll build advanced technology solutions and implement data engineering activities on mission-driven projects. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful, and you’ll guide a multi‑disciplinary team in a fast‑paced, agile environment.

• Help build advanced technology solutions and implement data engineering activities on mission-driven projects.
• Deploy and develop pipelines and platforms that organize and make disparate data meaningful.
• Work with and guide a multi‑disciplinary team of analysts, data engineers, developers, and data consumers in a fast‑paced, agile environment.
• Use analytical exploration and data examination experience while managing assessment, design, building, and maintenance of scalable platforms for clients.
• Use data to impact important missions—from fraud detection to cancer research to national intelligence.

• 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 Dev Sec Ops  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 trade‑offs 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 non‑technical stakeholders.
• Secret clearance.
• Bachelor’s degree.

• 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 framework certification(s).

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.

Salary range: $77,600.00 to $ (annualized USD). The compensation is based on location, education, experience, and contract-specific factors. The posting will close within 90 days from the Posting Date.

Benefits include health, life, disability, financial, and retirement benefits; paid leave; professional development; tuition assistance; work‑life programs; dependent care; and recognition awards. Full‑time and part‑time employees working at least 20 hours a week are eligible for benefit programs.