Data Engineer

The Data Engineer will lead the development and deployment of data pipelines and platforms to organize disparate data for mission driven projects, while mentoring a multidisciplinary team and guiding scalable data solutions.

Responsibilities

• Lead data engineering efforts on mission focused initiatives, guiding the design and implementation of technology solutions.
• Oversee the creation and deployment of pipelines and platforms that integrate diverse data sources and render data actionable.
• Mentor a multidisciplinary team of analysts, data engineers, developers, and data consumers within an agile environment.
• Apply analytical expertise to supervise the assessment, design, construction, and maintenance of scalable data platforms for clients.

Requirements

• A minimum of 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.
• Over a decade designing and deploying data pipelines, ontologies, and application workflows on platforms such as Palantir Foundry or Gotham, including air gapped or degraded connectivity and multiclassification environments.
• More than 10 years developing secure analytics ecosystems, including log pipelines, monitoring frameworks, operational dashboards, or intelligence fusion platforms in greenfield or modernization projects.
• Extensive experience implementing DevSecOps practices, including containerization, orchestration, CI/CD, and automated testing within constrained toolchains.
• Proven record integrating AI and ML capabilities into production workflows or operator tooling, such as AI assisted tools, model augmented decision aids, or automation solutions.
• Experience making architectural tradeoffs under constrained mission conditions, with limited infrastructure, fragmented networks, evolving requirements, or tight timelines.
• Ability to rapidly learn unfamiliar technologies, gain hands-on proficiency, and guide engineering teams through full lifecycle implementations.
• Strong communication of architectural decisions and solution impacts to engineering teams, government clients, and senior nontechnical stakeholders.
• Secret clearance and a bachelor’s degree.

Technologies

• Palantir Foundry
• Gotham
• AWS
• Kubernetes

Benefits

• Health benefits
• Life benefits
• Disability benefits
• Financial benefits
• Retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care
• Employee recognition program

Nice If You Have

• Experience supporting multi cloud, multi enclave, or multiclassification architectures across NIPR, SIPR, JWICS, or coalition networks
• Contributions to major defense programs or large systems integration efforts, with navigation of acquisition and compliance requirements
• Experience supporting DoD installations, operational units, or C2 systems in environments with incomplete documentation or degraded baselines
• Background developing agentic workflows, automation pipelines, or tools that improve engineering velocity
• History serving as a senior technical lead or architect responsible for end-to-end solution delivery
• Involvement in tiger teams, flyaway teams, or rapid response missions requiring accelerated delivery
• Top Secret clearance
• Certifications in architecture frameworks such as AWS, Palantir Foundry or Gotham, or Kubernetes

Clearance

Secret clearance is required.

Compensation

The salary at Booz Allen is determined by factors including location, education, experience, and organizational requirements. The projected compensation range for this position is $99,000 to $225,000 annually (USD).

Identity Statement

As part of the hiring process, an identity verification process using biometric and AI methods may be conducted to ensure authenticity and prevent fraud. Interview and assessment sessions may require on-camera participation, and Booz Allen may take a photo to verify identity.

Candidate AI Usage Policy

AI tools are used in daily work at Booz Allen, but candidate interactions during interviews are expected to reflect your own skills and knowledge unless explicit permission is provided to use AI assistance.

Work Model

• Onsite: Work will primarily be conducted at a Booz Allen or customer facility, with collaboration in person as required by the role.
• Hybrid: Regular presence at Booz Allen facilities is expected, with potential visits to customer sites as needed.
• Remote: Some duties may be performed remotely, with in-person needs occasional or as stipulated by leadership.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by applicable laws.