New

AI Data Integration Specialist, Lead

Booz Allen Hamilton
tuition assistance
United States, Virginia, McLean
Jan 23, 2026
Job Number: R0232373 AI Data Integration Specialist, Lead The Opportunity: Booz Allen is hiring an experiencedAI Data Integration Specialist, Leadto support Veterans Affairs. The VA is responsible for providing comprehensive support to IT customers across all VA Administrations and special program offices, including direct support for employees and contractors who use government-furnished IT equipment and infrastructure. As an AI Data Integration Specialist, you will serve as a technical expert responsible for designing, implementing, and optimizing data pipelines that enable AI/ML capabilities within mission-critical federal IT operations. Working closely with the AI Solutions Architect, you will transform raw operational data into AI-ready assets while ensuring data quality, governance, and compliance. This is a hands-on technical role requiring deep expertise in data engineering, ML pipelines, and integration architecture. You will assess complex data landscapes, identify gaps, design integration solutions, and demonstrate clear ROI for AI initiatives that directly impact Veterans' access to healthcare and benefits. Work with us to use data for good. Join us. The world can't wait. You Have: 10+ years of experience in data engineering, data integration, or ML operations roles Experience working with enterprise data integration challenges in complex technical environments Experience designing and implementing data pipelines for analytics or AI/ML applications Experience in the Federal Government, including within the VA or the Department of Defense Master's degree in a Computer Science, Data Engineering, Information Systems, or Computer Engineering field Nice If You Have: 5+ years of experience with ML/AI and data requirements for model training, validation, and inference 5+ years of experience in data ingestion and preparation techniques, including ETL/ELT pipeline development 5+ years of experience with data pipeline orchestration tools and frameworks, metadata tagging standards, and data cataloging approaches 5+ years of experience in data classification schemes and minimal data standards for AI/ML readiness 5+ years of experience in data flows, system integrations, and API-based data exchange patterns 5+ years of experience in cloud data platforms and hybrid cloud or on-premise integration patterns 5+ years of experience in SQL and at least one programming language for data transformation 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 $99,000.00 to $225,000.00 (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.