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 engineeron 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, includingAWS GovCloud, and with integrating APIs and services into modern applications using frameworks likeFastAPI,Gin, orStreamlit
• 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 withDoD data systems, tactical networks, or multi-domain operational environments
• Experience withAI/ML model deploymentand supporting AI-native infrastructure such as Llama.cpp, Ollama, or vector databases
• Experience working withgeospatial data and GIS toolslike ArcGIS or Leaflet
• Experience integrating large datasets into frontend apps usingTypeScript,React, orShiny
• Experience withDuckDB,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 you with 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 superior 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 inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

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 the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.