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Data Validation Jobs in Virginia (NOW HIRING)

No Limit Technology

Data Modeler

Richmond, VA · On-site

$53.50 - $69.50/hr

Implement data validation rules and data quality checks to ensure data integrity and consistency \n * Data Mesh Data Modeler with Databricks Expertise \n * Skilled Data Mesh Data Modeler with Data ...

USM

Data Analyst

Mclean, VA

The position will support Servicing Portfolio Analytics This will require a lot of data validation work, comparing files, tracking changes and etc. 5-7 year experience in SAS - Looking for a ...

Lancesoft

Senior Data Engineer

Reston, VA · On-site

$70 - $75/hr

End-to-end data validation * Data ingestion accuracy * Transformation logic integrity * Data pipeline reliability * Conduct test coverage analysis and ensure adequate validation across all data ...

INflow Federal

Data Engineer

Arlington, VA · Remote

$131K - $158K/yr

Support data validation and reconciliation, performing quality checks and developing reports to ensure accuracy * Integrate data from APIs, streaming sources, and file-based systems into centralized ...

JANSON

Junior Data Analyst / Developer

Fairfax, VA · On-site

... with data validation, quality checks, and sustainment artifacts · Support analytics handoff and institutional adoption efforts · Progressively develop Army Vantage skills over the period of ...

JANSON

Junior Data Analyst / Developer

Fairfax, VA · On-site

... with data validation, quality checks, and sustainment artifacts · Support analytics handoff and institutional adoption efforts · Progressively develop Army Vantage skills over the period of ...

ECS

Data Security Analyst - Journeyman

Fairfax, VA · On-site

Implement schema management and data validation routines to improve data accuracy, traceability, and consistency for cybersecurity monitoring and reporting. * Optimize data pipelines and processing ...

New

ECS

Data Security Analyst - Journeyman

Fairfax, VA · On-site

... validation routines to improve data accuracy, traceability, and consistency for cybersecurity monitoring and reporting. • Optimize data pipelines and processing performance to support scalable ...

New

ECS

Data Engineer - Journeyman

Fairfax, VA · On-site

$117K - $140K/yr

... and data validation routines to improve the accuracy, traceability, and reliability of cybersecurity reporting and monitoring outputs. • Optimize data pipeline performance to support scalable ...

New

ECS

Data Engineer - Journeyman

Fairfax, VA · On-site

$113K - $136K/yr

Implement schema management and data validation routines to improve the accuracy, traceability, and reliability of cybersecurity reporting and monitoring outputs. * Optimize data pipeline performance ...

New

NAVA Software Solutions

Data Scientist

Merrifield, VA · On-site

Advanced skill in Data Management, Data Validation & Cleansing and Information Analysis Desired Qualifications and Education Requirements: All Data Scientist Roles * Doctoral degree in Statistics ...

Netsynk

PRODUCT/DATA ANALYST

Mclean, VA

... validate ETL processes by working with data engineers to ensure data quality, integrity, and optimized data flows Develop and maintain dashboards, reports, and KPIs to monitor product health and user ...

Genworth

Principal Data Analyst

Richmond, VA · On-site

Validate, reconcile, and certify data sourced from multiple teams, systems, and datasets to ensure accuracy, completeness, and consistency across reports, dashboards, and analytical outputs.

Seneca Holdings

Data Scientist

Yorktown, VA · On-site

The Data Scientist will support event planning, instrumentation strategies, data validation, and analytics, providing insights to leadership and recommendations for process improvement. Required ...

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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 Jun 11, 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 the Data Validation position, 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 job?

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 are the typical daily responsibilities of someone working in Data Validation?

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 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

Data Modeler

No Limit Technology

Richmond, VA • On-site

$53.50 - $69.50/hr

Full-time

Posted 9 days ago

Job description

\n <\/head>\n \n

Job Description\/Summary: Data Modeler<\/span><\/span><\/b><\/span><\/span><\/b>
<\/span><\/span><\/span><\/span><\/span><\/p>

Client is building a Common Data Platform ("CDP"), a cloud\-based, end\-to\-end data management and analytics platform. The CDP program needs consulting services with skills to increase delivery capacity.
<\/span><\/span><\/span><\/span><\/span><\/p>

Description:<\/span><\/b><\/span>
<\/span><\/span><\/span><\/span><\/p>\n

\n Provide one (1) data modeler resource who will integrate into the CDP Program Teams solutions delivery team. These data modelers resources will assist in building and migrating data assets into a new AWS technology stack using Immuta, Starburst, Collibra, Databricks, Alteryx, and Tableau. Required <\/span><\/span>
\n <\/div>\n
\n
\n <\/div>\n
\n Qualifications<\/b> <\/span><\/span>
\n <\/div>\n
    \n
  • Data products modeling within data mesh architecture <\/span>
    <\/span><\/span><\/span><\/li>\n
  • Hands\-on experience leading the design and implementation of technical data models and data products within the data mesh architecture <\/span>
    <\/span><\/span><\/span><\/li>\n
  • Hands\-on data engineering experience with Databricks and Spark <\/span><\/span>
    <\/span><\/li>\n
  • Hands\-on experience in design, implementation and optimization of technical Data Pipelines <\/span>
    <\/span><\/span><\/span><\/li>\n
  • Hands\-on experience in design, implementation and management of the technical Data Products lifecycle<\/span><\/span>
    <\/span><\/li>\n
  • Proficiency in SQL and Python<\/span>
    <\/span><\/span><\/span><\/li>\n <\/ul>

    Key Activities <\/span>
    <\/span><\/span><\/span><\/span><\/span><\/p>\n

      \n
    • Design and implement scalable and efficient data models within the data mesh architecture, considering factors such as domain\-driven design, data as a product, and federated data governance <\/span>
      <\/span><\/span><\/span><\/li>\n
    • Work closely with data architects, data engineers, business users and translate business needs into technical solutions, and communicate data model designs effectively <\/span>
      <\/span><\/span><\/span><\/li>\n
    • Leverage Databricks for data engineering tasks such as data processing, data validation and data orchestration<\/span>
      <\/span><\/span><\/span><\/li>\n
    • Optimize data pipelines and ensure reliable and efficient data processing, high performance, and scalability<\/span>
      <\/span><\/span><\/span><\/li>\n
    • Implement data validation rules and data quality checks to ensure data integrity and consistency <\/span>
      <\/span><\/span><\/span><\/li>\n
    • Data Mesh Data Modeler with Databricks Expertise<\/span>
      <\/span><\/span><\/span><\/li>\n
    • Skilled Data Mesh Data Modeler with Data Engineering expertise in Databricks <\/span>
      <\/span><\/span><\/span><\/li>\n
    • Lead the design and implementation of data models and data products within the Data Mesh Architecture<\/span>
      <\/span><\/span><\/span><\/li>\n
    • Design, implement and optimize Data Pipelines<\/span>
      <\/span><\/span><\/span><\/li>\n
    • Design, implement and manage the lifecycle of Data Products<\/span><\/span><\/span>
      <\/li>\n <\/ul>\n
      \n
      \n <\/div><\/span>
      \n <\/body>\n<\/html>

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