1

Data Organization Jobs in Virginia (NOW HIRING)

Design or refine Postgres schemas to improve data organization and query performance. Required Qualifications: * Demonstrated ability to conduct independent technical research, evaluate emerging AI ...

... data organization and query performance. Qualifications : Required : • Demonstrated ability to conduct independent technical research, evaluate emerging AI/ML approaches, and apply advanced ...

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

Data Intelligence is seeking a highly skilled Senior Data Analyst to support the Naval Criminal ... We work with Veteran's organization to proactively hire those who have served our country. We offer ...

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

Senior Data Analyst ID: 1592 Location: Quantico, VA More about this job > Description Data ... We work with Veteran's organization to proactively hire those who have served our country. We offer ...

Preferred Education, Experience, & Skills Ability to apply data organization skills Strong demonstrated communication skills - written, oral, verbal Strong interpersonal skills with both junior and ...

Execute a range of analytic tasks spanning data organization and exploitation through probabilistic judgment and assessment. * Develop and apply rigorous methodologies that add precision and ...

... data organization and query performance. Qualifications : Required : • Demonstrated ability to conduct independent technical research, evaluate emerging AI/ML approaches, and apply advanced ...

Execute a range of analytic tasks spanning data organization and exploitation through probabilistic judgment and assessment. * Develop and apply rigorous methodologies that add precision and ...

Showing results 21-40

Data Organization information

See Virginia salary details

$10

$38

$84

How much do data organization jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for data organization in Virginia is $38.53, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $60.32 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a data organization position, and why are they important?

To thrive in a Data Organization role, you need strong analytical skills, attention to detail, and experience with data management practices, typically supported by a degree in information science, computer science, or a related field. Familiarity with database software such as SQL, data visualization tools, and proficiency in Excel or data management platforms are commonly required, while certifications like Certified Data Management Professional (CDMP) can be advantageous. Excellent organizational, problem-solving, and communication skills help facilitate effective collaboration across teams and ensure data quality. These skills are crucial for maintaining accurate, accessible, and secure data, directly impacting business decision-making and operational efficiency.

What is a data organization?

A Data Organization job involves structuring, managing, and maintaining data to ensure its accuracy, accessibility, and usability. Professionals in this role work with databases, metadata, and data governance practices to optimize information flow and retrieval. They may also clean, categorize, and integrate data from various sources to support business operations and decision-making. Strong analytical skills, attention to detail, and proficiency with data management tools are essential for success in this role.

What are some typical responsibilities I can expect in a data organization position?

In a Data Organization role, you will typically be responsible for structuring, maintaining, and ensuring the accuracy and integrity of large datasets. This often includes tasks such as data cleansing, standardizing formats, updating records, and organizing information to support business analysis or reporting needs. You may also work closely with cross-functional teams, providing data support, troubleshooting data issues, and helping to implement data governance policies. These responsibilities are essential to keep organizational data reliable and easily accessible for those who need it.

What are the most commonly searched types of Data Organization jobs in Virginia? The most popular types of Data Organization jobs in Virginia are:
What are popular job titles related to Data Organization jobs in Virginia? For Data Organization jobs in Virginia, the most frequently searched job titles are:
Infographic showing various Data Organization job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $80,138 per year, or $38.5 per hour.

AI/ML Engineer

Closure Technologies

Mclean, VA • On-site

Full-time

Re-posted 23 days ago


Job description

Closure Technologies is seeking a AI/ML Engineer who will Implement and maintain Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into applications, supported by API development and optimizing data storage through Postgres schema refinement.

Clearance Requirement: TS/SCI with Polygraph

Key Responsibilities:

  • Implement and maintain RAG pipelines, including document processing, embedding generation, retrieval configuration, and prompt assembly.
  • Integrate LLMs into applications using available APIs and frameworks.
  • Develop and maintain REST API interactions to support data retrieval and system integration.
  • Design or refine Postgres schemas to improve data organization and query performance.

Required Qualifications:

  • Demonstrated ability to conduct independent technical research, evaluate emerging AI/ML approaches, and apply advanced analytical problem-solving comparable to PhD-level research environments.
  • Ability to rapidly learn and apply new AI/ML methodologies, tools, and frameworks in support of evolving mission requirements.
  • Experience developing AI/ML applications focused on Retrieval-Augmented Generation (RAG), semantic retrieval, LLM integration, or related AI workflows.
  • Strong proficiency in Python and modern AI/ML libraries, frameworks, and API integrations.
  • Active/current TS/SCI with required polygraph.
  • Willingness to work onsite full time.
  • US citizenship required.
  • Senior Labor Category: Minimum 8 years of experience with a Bachelor's degree; or 7 years of experience with a Masters degree; or 6 years of experience with a Doctorate

Preferred Qualifications:

  • Advanced research experience in machine learning, deep learning, natural language processing, generative AI, reinforcement learning, computer vision, or related disciplines.
  • Experience publishing research, contributing to open-source AI/ML initiatives, or leading experimental and prototype development efforts.
  • Familiarity with model evaluation frameworks, fine-tuning workflows, inference optimization, and AI observability/monitoring tools.
  • Experience with vector databases, AWS/cloud environments, Docker, and containerized AI/ML development workflows.
  • Experience designing and integrating REST APIs and scalable data architectures.