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Ai Data Engineer Jobs in Virginia (NOW HIRING)

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$160K - $200K/yr

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site

$160K - $200K/yr

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site

$160K - $200K/yr

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data ...

Karsun Solutions, LLC

Senior AI Data Engineer

Herndon, VA · On-site

$165K - $180K/yr

Summary We are seeking a highly skilled and motivated Sr. AI Data Engineer with a proven track record in building scalable data platforms and incorporating Generative AI into data engineering ...

Karsun Solutions LLC

Senior AI Data Engineer

Herndon, VA · On-site

$165K - $180K/yr

Summary We are seeking a highly skilled and motivated Sr. AI Data Engineer with a proven track record in building scalable data platforms and incorporating Generative AI into data engineering ...

JCTM, LLC

AI Data Systems Engineer

Quantico, VA · On-site

$123K - $135K/yr

As an AI Data Systems Engineer with JCTM you will support the Marine Corps Warfighting Lab by owning the data foundation for AI Branch initiatives. This position requires hands-on data engineering ...

New

GDIT

Data Engineer

Falls Church, VA · Hybrid

$81K - $105K/yr

No As a Data Engineer at GDIT, you'll power innovation to drive mission impact and grow your ... We are a fast-growing AI and Data team within the Global CIO organization at GDIT. We design and ...

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All JobsAi Data Engineer JobsAi Data Engineer Jobs in Virginia

Ai Data Engineer information

See Virginia salary details

$44.1K

$128.6K

$176K

How much do ai data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for ai data engineer in Virginia is $128,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI data engineer?

To thrive as an AI Data Engineer, you need strong proficiency in programming (Python, SQL), data architecture, and machine learning fundamentals, typically supported by a degree in computer science, engineering, or a related field. Experience with big data tools (Spark, Hadoop), cloud platforms (AWS, Azure, GCP), and certifications like Google Professional Data Engineer are highly valuable. Excellent problem-solving skills, attention to detail, and effective team communication help distinguish top performers in this role. These abilities ensure the development of robust data pipelines and systems that power accurate AI solutions in a collaborative and rapidly-evolving environment.

What does an AI data engineer do?

An AI Data Engineer designs, builds, and manages data pipelines and infrastructure to support AI and machine learning models. They collect, process, and store large datasets, ensuring data is clean, structured, and accessible for AI applications. Their role involves working with big data tools, cloud platforms, and databases to optimize performance and scalability. Collaboration with data scientists and software engineers is essential to deploy and maintain AI solutions efficiently.

What are some common challenges an AI data engineer might face in their daily work?

AI Data Engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality and consistency, and building scalable data pipelines to handle large volumes of information. Working closely with data scientists and software engineers requires strong collaboration and flexibility to adapt to shifting project requirements or algorithms changes. Keeping up with the latest developments in big data and machine learning tech stacks is also crucial. Overcoming these challenges provides a dynamic work environment and offers valuable learning and career growth opportunities.

What are the most commonly searched types of Ai Data Engineer jobs in Virginia?

The most popular types of Ai Data Engineer jobs in Virginia are:

What are popular job titles related to Ai Data Engineer jobs in Virginia?

For Ai Data Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Ai Data Engineer jobs in Virginia look for?

The top searched job categories for Ai Data Engineer jobs in Virginia are:

What cities in Virginia are hiring for Ai Data Engineer jobs?

Cities in Virginia with the most Ai Data Engineer job openings:

Ai Data Engineer jobs near you
Infographic showing various Ai Data Engineer job openings in Virginia as of August 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 100% In-person job distribution, with an average salary of $128,604 per year, or $61.8 per hour.

AI Data Engineer

Science Applications International Corporation

Fort Belvoir, VA

$129K - $155K/yr

Full-time

Re-posted 29 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

79th of 224 rated it services

Job description

SAIC is seeking an AI Data Engineer to join our team at Fort Belvoir, Virginia.

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data availability, quality, security, and operational integration to enable advanced analytics and decision-making. The AI Data Engineer will collaborate with cross-functional teams, optimize data workflows, and contribute to intelligence solutions.
Key Responsibilities:

  • Translate business requirements into logical data models to support entity relationships and data flows.
  • Design and implement scalable data pipelines for AI and machine learning workloads.
  • Develop and maintain data architectures to ensure data quality, availability, and security.
  • Collaborate with internal teams and external stakeholders to meet AI/ML data requirements.
  • Optimize data workflows for real-time analytics and decision-making.
  • Ensure adherence to data governance policies and security protocols.
  • Stay current on data engineering, AI, and machine learning advancements.
  • Support the operational deployment and integration of AI/ML solutions to enhance intelligence capabilities.
  • Analyze complex data challenges and deliver practical, innovative technical solutions aligned with organizational goals.
  • Engage frequently with internal and external stakeholders to resolve technical issues and deliver impactful solutions.
  • Contribute to the successful delivery of programs and projects.
SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Required Education:

  • Bachelors degree and nine (9) years or more related experience; Masters and seven (7) years or more experience; four (4) years of experience considered in lieu of degree.

Qualifications:

  • 5+ years of experience in systems engineering, data engineering, data architecture, or similar roles.
  • Expertise with Palantir Foundry; particularly with Ontologies, Object Types, Data Pipelines, and AIP tools).
  • Strong knowledge of data pipeline design, ETL processes, and database management.
  • Proficiency in programming languages such as Python, SQL, and TypeScript; and object-oriented development.
  • Experience utilizing Large Language Models (LLMs) for tasks like NLP, text generation, and conversational AI.
  • Familiarity with data governance, security practices, and compliance standards.
  • Excellent analytical, problem-solving, and teamwork abilities.

Clearance:

  • Candidate must have an active TS/SCI clearance with the ability to obtain a TS/SCI with Poly.  

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