Data Engineer, Mid

Data Engineer, Mid

The Opportunity:

Emerging capabilities in artificial intelligence, machine learning, and autonomous systems demand robust data engineering—especially when integrating complex, diverse data into mission-driven applications. As a data engineer, you understand that clean, connected, and accessible data is the foundation of everything from LLM-powered interfaces to real-time operational insights. We need a data professional like you to help design and build the pipelines, services, and backend infrastructure that power advanced analytics and AI for our clients across defense and intelligence missions.

As a data engineer on our team, you’ll use your experience with databases, data pipelines, and scalable application integration to shape how mission applications consume and act on data. You’ll build robust infrastructure to support both legacy and bleeding-edge data sources, enabling AI/ML model deployment, geospatial visualization, and multi-modal applications. From connecting operational systems with vector databases to embedding LLMs into field-deployable tools, you’ll work on some of the most dynamic and impactful projects in the industry.

Here, you’ll collaborate with developers, scientists, and analysts in a fast-paced, agile environment. You'll refine your skills in API development, data platform integration, and deployment across secure environments like AWS GovCloud and containerized infrastructure.

Work with us to turn data into decision advantage.

Join us. The world can’t wait. 

You Have:   

• 2+ years of experience with programming languages including Python and C++
• 2+ years of experience developing and maintaining scalable data pipelines and storage solutions
• Experience with modern databases, including PostgreSQL, MongoDB, Neo4j, or DuckDB
• Experience designing ETL/ELT workflows for structured and unstructured data
• Experience building containerized microservices using Docker or Podman and deploying on Kubernetes
• Experience working in cross-functional teams with developers, analysts, and modelers
• Ability to support data ingestion, transformation, and retrieval via APIs and backend services
• Bachelor’s degree
• Secret clearance

Nice If You Have:   

• Experience working with Department of Defense (DoD) data systems or secure networks
• Experience with vector-based search and AI-native infrastructure such as Llama.cpp or Ollama
• Experience with modern application frameworks like FastAPI, Gin, or Streamlit
• Experience integrating geospatial datasets using tools like ArcGIS
• Experience with AWS GovCloud and infrastructure-as-code practices
• Experience with real-time data ingestion, event-driven pipelines, or graph data models
• Experience with front-end ecosystems such as TypeScript and React
• Experience supporting MLOps or deploying AI models into production applications
• 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.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. 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 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.