Platform and Data Engineer

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.