Build scalable data platforms and production analytics systems in classified environments as part of a multidisciplinary team.

Build advanced technology solutions and execute data engineering activities on mission-driven projects
Deploy and develop pipelines and platforms that organize disparate data and make it actionable
Lead the assessment, design, build, and maintenance of scalable client platforms
Apply analytical exploration and data examination while owning platform assessment, design, building, and maintenance
Collaborate with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in an agile, fast-paced environment
Own the development of analytics systems
Work with clients to understand questions and needs, then translate information from data-rich environments into workable solutions
Deliver analytics that support outcomes such as fraud detection, cancer research, and national intelligence use cases
Use multiple tools and frameworks to turn disparate datasets into meaningful answers for client decision-making
Write production-quality code and communicate the story behind the data
Bring a deep understanding of data fundamentals to deliver strong outcomes using data for good

3+ years of experience in software development, data engineering, or data science delivering enterprise-scale solutions with measurable business impact
2+ years of experience using Python for data work with standard libraries including NumPy, pandas, matplotlib, and PySpark
2+ years of experience breaking down complex problems into technical solutions based on customer requirements
1+ years of experience building visualization front ends such as analytics dashboards or interactive GUI applications (including web apps)
1+ years of experience communicating technical solutions to non-technical customers and non-technical stakeholders, including customers and senior leadership
Experience adhering to and championing SDLC best practices, including requirements management, testing, change control, and release processes
Ability to manage tasks and projects independently with minimal guidance
Secret clearance
Bachelor’s degree in a STEM field such as Computer Science, Data Science, Mathematics, Statistics, or Engineering

Experience with distributed data and computing tools such as Databricks
Experience with DoD enterprise platforms such as War Data Platform, ADVANA, Palantir Foundry (including Maven Smart Systems) or Microsoft Power Platform
Experience with Generative AI techniques including LLMs
Experience with React, TypeScript, and Angular frameworks
Experience writing production-level code optimized for efficiency, speed, and reliability
Experience working with high-ranking military personnel
Top Secret clearance
Master’s degree in a STEM field such as Computer Science, Data Science, Mathematics, Statistics, or Engineering

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

Projected compensation range: $61,900.00 to $141,000.00 per year (annualized USD).

Pearl Harbor, HI (onsite)

Complete an identity verification process using advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud
You are expected to be on camera during interviews and assessments
Booz Allen reserves the right to take your picture to verify your identity and prevent fraud

Use of AI or other tools to assist with responses during interviews (in-person or virtual) is prohibited unless permission is explicitly provided

Bachelor’s degree in a STEM field (e.g., Computer Science, Data Science, Mathematics, Statistics, or Engineering)

Platform and Data Engineer

Job Description