Booz Allen Hamilton is looking for a Platform and Data Engineer to build scalable data engineering solutions and mission-focused analytics systems in classified environments. This role blends platform and pipeline development with full-stack data applications that include interactive front ends, so you can turn complex data into decisions that matter.
Location: Pearl Harbor, HI (onsite)
Compensation: projected range of $61,900 to $141,000 annually
What you will do
- Help implement data engineering activities and advanced technology solutions on mission-driven projects
- Deploy and develop pipelines and platforms that organize disparate data into meaningful, usable information
- Support a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile setting
- Own the assessment, design, building, and ongoing maintenance of scalable platforms for clients
- Use analytical exploration and data examination to support scalable platform delivery
- Develop analytics systems and production-quality solutions that help clients find answers in their data
- Work side by side with teammates in classified environments while owning the development of analytics systems
- Maintain best software and data development practices that clients can trust
- Use tools and frameworks to transform data points into actionable insights for informed decision-making
- Communicate effectively with clients to understand questions and needs, then assemble the right pieces from their data
Skills and qualifications
- 3+ years of experience in software development, data engineering, or data science delivering enterprise-scale solutions with measurable business impact
- 2+ years using Python for data work with libraries such as NumPy, pandas, matplotlib, and PySpark
- 2+ years translating complex problems into technical solutions based on customer requirements
- 1+ years building visualization front ends such as analytics dashboards or interactive GUI applications (including web apps)
- 1+ years communicating technical solutions to non-technical customers and non-technical stakeholders, including customers and senior leadership
- Experience following 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 (e.g., Computer Science, Data Science, Mathematics, Statistics, or Engineering)
Technologies: IoT, machine learning, artificial intelligence, Foundry, Spark, Python, Qlik, Tableau, React, NumPy, pandas, matplotlib, PySpark, web development frameworks, SDLC
Benefits
- Health, life, disability, financial, and retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
Nice to have
- Experience with distributed data and computing tools such as Databricks
- Experience with DoD enterprise platforms including War Data Platform, ADVANA, Palantir Foundry, 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 for efficiency, speed, and reliability
- Experience working with high-ranking military personnel
- Top Secret clearance
- Master’s degree in a STEM field (e.g., Computer Science, Data Science, Mathematics, Statistics, or Engineering)
Security and interview expectations
- 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.
- Identity verification is required and may use 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.
- Use of AI or other tools to assist with responses during interviews is prohibited unless permission is explicitly provided.
- This position is onsite, with work primarily performed full-time at a customer facility.
Education: Bachelor’s degree in a STEM field is required.
