AI Data Integration Specialist

AI Data Integration Specialist page is loaded## AI Data Integration Specialist locations:
McLean, VAtime type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
May 18, 2026 (30+ days left to apply) job requisition :
R0234240AI Data Integration Specialist
*
* The Opportunity:

** Ever-expanding technology like IoT, machine learning (ML), and artificial intelligence (AI) means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions from fraud detection to cancer research, to national intelligence.

As a data engineer at Booz Allen, you’ll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful.

Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.

Work with us to use data for good.

Join us. The world can’t wait.
** You Have:
*** 5+ 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, AI, or ML applications
* Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
* Bachelor’s degree in a CS, Data Engineering, Information Systems, or Computer Engineering field
** Nice If You Have:
*** 5+ years of experience with AI and ML, and data requirements for model training, validation, and inference
* 5+ years of experience with data ingestion and preparation techniques, including ETL or 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 with data classification schemes and minimal data standards for AI and ML readiness
* 5+ years of experience with data flows, system integrations, and API-based data exchange patterns
* 5+ years of experience with cloud data platforms and hybrid cloud or on-premises integration patterns
* 5+ years of experience with SQL and programming languages for data transformation
* Experience in the federal government, including within the VA or the Department of Defense
* Master’s degree in a CS, Data Engineering, Information Systems, or Computer Engineering field
** Vetting:
** Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
** 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…