Build mission-ready data and platform solutions in a role that blends data engineering, analytics systems, and full-stack delivery with interactive front ends. This onsite position at Booz Allen Hamilton in Pearl Harbor, HI supports classified work with a multidisciplinary team, helping clients turn complex, disparate data into meaningful answers that impact real outcomes.
What you’ll do
- Help design and implement advanced data engineering activities on mission-driven projects
- Deploy and develop pipelines and platforms that organize and make disparate data meaningful
- Guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment
- Own the assessment, design, building, and maintenance of scalable platforms for clients
- Use analytical exploration and data examination to support platform work and client needs
- Develop analytics systems that support clients from data-rich environments to actionable insights
- Use a variety of tools and frameworks to turn disparate data points into recommendations that support informed decisions
- Maintain very best software and data development practices that clients can trust
- Write production-quality code and connect implementation details to the story behind the data
- Work side by side with teammates in classified environments while delivering analytics system development
- Use data for good across use cases such as fraud detection, cancer research, and national intelligence
Required skills & experience
- 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 leveraging 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 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 (required)
- Bachelor’s degree in a STEM field such as Computer Science, Data Science, Mathematics, Statistics, or Engineering
Technologies you may work with
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
Compensation
The projected compensation range for this position is $61,900.00 to $141,000.00 (annualized USD).
Security and identity requirements
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.
- Complete an identity verification process that leverages 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
AI usage policy during interviews
Use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work model
Onsite: work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
