ZipRecruiter

Log In

1

Data Validation Jobs in Virginia (NOW HIRING)

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

In this role, you will provide computational, data science, and bioinformatics support for Office of Research Innovation, Validation, and Application's (ORIVA) research validation and application ...

Client First Technologies

Sr. Data Analyst

Dahlgren, VA · On-site

$87K - $110K/yr

The Senior Data Analyst develops logical data models, interfaces, and validation specifications; supports data warehousing and legacy system migration, and provides authoritative data products for ...

Client First Technologies

Sr. Data Analyst

Dahlgren, VA · On-site

$87K - $110K/yr

The Senior Data Analyst develops logical data models, interfaces, and validation specifications; supports data warehousing and legacy system migration, and provides authoritative data products for ...

Client First Technologies Inc.

Sr. Data Analyst

Dahlgren, VA · On-site

$87K - $110K/yr

The Senior Data Analyst develops logical data models, interfaces, and validation specifications; supports data warehousing and legacy system migration, and provides authoritative data products for ...

STI

Data Analyst

Charlottesville, VA · On-site

Perform data analysis, data profiling, SQL coding/query tuning, data modeling, and data validation Work and partner with internal stakeholders to develop reports or address data access and ...

CaseGuard

Data Annotation Specialist

Arlington, VA · On-site

$40K - $50K/yr

Perform accurate data entry and data validation to ensure high-quality datasets. * Review, label, and categorize images to support machine learning and AI model training. * Follow detailed annotation ...

ThinkTek

Data Architect

Merrifield, VA

$170K - $210K/yr

Lead data migration, validation, cleansing, mapping, and integration efforts across multiple systems. * Recommend improvements to data architecture, cloud adoption, and enterprise data management ...

GRVTY

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

... validation / data quality after ETLing to be sure it's ready for end users • Docker • Jenkins • Hadoop/Spark • Kibana • Kafka • NiFi • ElasticSearch Company : GRVTY is a defense ...

ThinkTek

Data Architect

Merrifield, VA · On-site

$170K - $210K/yr

Lead data migration, validation, cleansing, mapping, and integration efforts across multiple systems. * Recommend improvements to data architecture, cloud adoption, and enterprise data management ...

ThinkTek

Data Architect

Merrifield, VA · On-site

$170K - $210K/yr

Lead data migration, validation, cleansing, mapping, and integration efforts across multiple systems. * Recommend improvements to data architecture, cloud adoption, and enterprise data management ...

CaseGuard

Data Annotation Specialist

Arlington, VA

$40K - $50K/yr

Perform accurate data entry and data validation to ensure high-quality datasets. * Review, label, and categorize images to support machine learning and AI model training. * Follow detailed annotation ...

Delan Associates, Inc.

Data Engineer II

Arlington, VA · On-site +1

$131K - $158K/yr

Follow engineering best practices including code reviews, version control, testing, and data validation. Ensure compliance with Mastercard internal policies and industry regulations. Required ...

previous pagenext page

Showing results 21-40

All JobsData Validation JobsData Validation Jobs in Virginia

Data Validation information

See Virginia salary details

$22

$51

$77

How much do data validation jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data validation in Virginia is $51.55, according to ZipRecruiter salary data. Most workers in this role earn between $39.09 and $62.69 per hour, depending on experience, location, and employer.

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

To thrive in Data Validation, a strong attention to detail, analytical thinking, and experience with data management or quality assurance processes are essential, often supported by a degree in information technology, statistics, or a related field. Familiarity with database software (such as SQL), spreadsheet tools (like Excel), and data validation or ETL (Extract, Transform, Load) systems, along with relevant certifications, is highly beneficial. Strong problem-solving skills, effective communication, and the ability to work both independently and collaboratively help individuals excel in this role. These skills ensure the accuracy and integrity of organizational data, supporting informed decision-making and operational efficiency.

What is a data validation?

A Data Validation job involves reviewing, cleaning, and verifying data to ensure accuracy, consistency, and reliability. Professionals in this role check for errors, inconsistencies, and missing information using automated tools and manual techniques. They work with databases, spreadsheets, and software applications to maintain data integrity, often collaborating with analysts and engineers. Their work is critical for making informed business decisions and maintaining regulatory compliance.

What does a data validation do?

A Data Validation professional typically spends their day reviewing large datasets, identifying inconsistencies or errors, and ensuring that all data meets established quality standards. This may involve developing and running automated scripts, maintaining data validation rules, and collaborating with data engineers or analysts to resolve data-related issues. The role often requires documenting validation processes and findings to support transparency and future audits. You can expect to work both independently and as part of a larger data or QA team, making your contributions vital to maintaining reliable business information.

What is the work of data validation?

Data validation is a key responsibility in data validation jobs, involving checking data for accuracy, completeness, and consistency to ensure it meets specified standards. It often requires attention to detail, knowledge of data quality tools, and understanding of data formats to prevent errors in data processing and analysis.
What are the most commonly searched types of Data Validation jobs in Virginia? The most popular types of Data Validation jobs in Virginia are:
What are popular job titles related to Data Validation jobs in Virginia? For Data Validation jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Validation jobs in Virginia look for? The top searched job categories for Data Validation jobs in Virginia are:
What cities in Virginia are hiring for Data Validation jobs? Cities in Virginia with the most Data Validation job openings:
Data Validation jobs near you
Infographic showing various Data Validation job openings in Virginia as of August 2026, with employment types broken down into 5% Internship, 71% Full Time, and 24% Contract. Highlights an 81% In-person, 5% Hybrid, and 14% Remote job distribution, with an average salary of $107,225 per year, or $51.6 per hour.

Scientific Data Analyst

IMAGINEEER LLC

Arlington, VA • On-site

$110K - $115K/yr

Full-time

Medical, Retirement, PTO

Re-posted 28 days ago

Job description

Benefits:
  • 401(k) matching
  • Competitive salary
  • Health insurance
  • Paid time off

About this Role: 
In this role, you will provide computational, data science, and bioinformatics support for Office of Research Innovation, Validation, and Application’s (ORIVA) research validation and application programs across D-NICEATM and DAIBR. 
You will develop and maintain NIH databases, build analytical tools, support computational modeling, and deliver data-driven insights to a multidisciplinary team advancing human-centered biomedical research. This role sits at the intersection of data science, regulatory science, and biomedical research. 
 
Key Responsibilities: 
  1. Develop and execute analytical workflows to process, analyze, and interpret large-scale biomedical datasets  
  2. Apply computational and bioinformatics methods in support of New Approach Methodologies (NAMs) related research objectives  
  3. Maintain and enhance NIH databases and tools through data curation, integration, and interoperability support  
  4. Build and maintain data pipelines and analytical tools using Python, R, or equivalent languages  
  5. Develop and update user support materials, websites, and training resources  
  6. Ensure all published materials meet 508-compliance standards  
  7. Present complex analytical results clearly to scientific and non-technical audiences  
  8. Support data validation, cleansing, and governance per NIH data quality standards 
 
Qualifications and Skills: 
  1. PhD in bioinformatics, mathematics, statistics, computer science, data science, or related field with 4+ years of relevant experience OR Master's degree in an equivalent field with 4 years of additional experience  
  2. Proficiency in at least two programming languages: Python, R, Perl, or equivalent  
  3. Experience with bioinformatics tools, databases, and high-throughput data analysis  
  4. Experience managing and integrating large biomedical or genomic datasets  
  5. Strong background in statistical analysis, data modeling, and computational methods  
  6. U.S. citizenship required; ability to obtain Public Trust clearance 
 
Desired Skills and Competencies: 
  1. Expertise in NAMs or computational toxicology  
  2. Experience with NIH scientific databases and platforms  
  3. Familiarity with in silico modeling, Adverse Outcome Pathway (AOP) frameworks, or ICCVAM/OECD validation standards  
  4. Prior NIH and/or HHS contractor experience  
  5. Experience with cloud platforms or HPC environments  
  6. Peer-reviewed publications in a related field     
 
Equal Opportunity Employer: 
We are an Equal Opportunity Employer and do not discriminate in employment decisions on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local laws. All employment decisions are based on business needs, job requirements, and individual qualifications. 

Flexible work from home options available.