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Data Engineer, Senior The Opportunity: As AI and advanced analytics shift from research to operational deployment, the role of robust, flexible, and secure data infrastructure becomes mission-critical. You know that enabling real-world AI means solving hard data engineering problems—integrating graph databases, geospatial sources, real-time sensor data, and AI-native formats across cloud and edge environments. We need a data engineer with the depth and range to lead this kind of integration. As an experienced data engineer on our team, you’ll take ownership of complex data systems, enabling the flow of information from raw collection to intelligent decision tools. You’ll help architect and build robust, scalable platforms for modern applications that include embedded AI models, multi-modal interfaces, and interactive dashboards for decision-makers. You’ll work closely with application developers, analysts, and ML engineers to operationalize data at the speed of mission. You’ll guide teams in designing secure, production-grade data infrastructure—whether that means graph-backed metadata stores, optimized ETL pipelines across PostgreSQL and MongoDB, or deploying vector models inside containerized APIs running on AWS GovCloud. You’ll not only write the code but also design the workflows, evaluate technologies, and build infrastructure others rely on. Work with us to turn data into intelligent capability at scale. Join us. The world can’t wait. You Have: 5+ years of experience as a data engineer, backend developer, or data platform engineer Experience in Python and a compiled language such as Go or C++ Experience leading development of scalable, secure data pipelines and backend systems Experience with multiple data storage technologies, including PostgreSQL, MongoDB, and Neo4j databases Experience with containerized environments, including Docker and Podman, and orchestration using Kubernetes Experience working with cloud infrastructure, including AWS GovCloud, and with integrating APIs and services into modern applications using frameworks like FastAPI, Gin, or Streamlit Experience mentoring junior engineers or leading small technical teams Knowledge of data modeling, indexing, performance tuning, and data security best practices Secret clearance Bachelor’s degree in a Computer Science or Engineering field Nice If You Have: Experience working directly with DoD data systems, tactical networks, or multi-domain operational environments Experience with AI/ML model deployment and supporting AI-native infrastructure such as Llama.cpp, Ollama, or vector databases Experience working with geospatial data and GIS tools like ArcGIS or Leaflet Experience integrating large datasets into frontend apps using TypeScript, React, or Shiny Experience with DuckDB, SQLite, or embedded analytical stores Experience implementing observability and monitoring in data pipelines Experience with secure DevSecOps practices in CI/CD workflows TS/SCI clearance Clearance: 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. Compensation: At Booz Allen, we celebrate your contributions, provide opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not health benefits. Learn more about our total benefits on our Careers site. The projected salary range for this position is $77,600 to $176,000 (annualized USD). This posting will close within 90 days from the Posting Date. Identity Statement: As part of the application process, 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. Work Model: Our people-first culture prioritizes flexibility and collaboration, whether in person or remotely. If listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site. If onsite, you’ll work with colleagues and clients in person as needed. Commitment to Non-Discrimination: All qualified applicants will receive consideration without regard to disability, veteran status, or other protected statuses by law.

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