Data Engineer, Mid

Overview Join to apply for the Data Engineer, Mid role at BOOZ ALLEN HAMILTON INTERNATIONAL (U.K.) LTD. Emerging capabilities in artificial intelligence, machine learning, and autonomous systems demand robust data engineeringespecially 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. Responsibilities As a data engineer on our team, youll use your experience with databases, data pipelines, and scalable application integration to shape how mission applications consume and act on data. Youll 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, youll work on some of the most dynamic and impactful projects in the industry. Youll 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 cant 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 Bachelors 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 Salary at Booz Allen is determined by various factors, including location, 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). This posting will close within 90 days from the Posting Date. 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, youll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, youll 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. Seniority level Mid-Senior level Employment type Part-time Job function Information Technology Industries Business Consulting and Services #J-18808-Ljbffr