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Data Validation Jobs in Washington, DC (NOW HIRING)

This role performs substantive data analysis, validation, profiling, transformation, visualization, and analytical-support activities using authorized Government data sources and Government-managed ...

This role performs substantive data analysis, validation, profiling, transformation, visualization, and analytical-support activities using authorized Government data sources and Government-managed ...

Data Engineer

Arlington, VA · Remote

$131K - $158K/yr

Implement data validation, quality checks, lineage, and governance practices that improve trust in data products * Contribute to automated testing, code reviews, technical documentation, and reusable ...

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

Data Engineer

Falls Church, VA · On-site

$122K - $146K/yr

Implement data validation, quality checks, lineage, and governance practices that improve trust in data products. * Contribute to automated testing, code reviews, technical documentation, and ...

Data Engineer

Falls Church, VA · On-site

$122K - $146K/yr

Implement data validation, quality checks, lineage, and governance practices that improve trust in data products. * Contribute to automated testing, code reviews, technical documentation, and ...

Showing results 41-60

Data Validation information

See Washington, DC salary details

$25

$58

$88

How much do data validation jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data validation in Washington, DC is $58.87, according to ZipRecruiter salary data. Most workers in this role earn between $44.62 and $71.59 per hour, depending on experience, location, and employer.

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 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 the work of data validation?

Data validation is a key responsibility in data validation roles, involving checking data for accuracy, completeness, and consistency to ensure it meets specified standards. It often requires knowledge of data management tools and techniques to identify errors and prevent incorrect data from entering systems, supporting data quality and integrity.

What are the most commonly searched types of Data Validation jobs in Washington, DC?

The most popular types of Data Validation jobs in Washington, DC are:

What job categories do people searching Data Validation jobs in Washington, DC look for?

The top searched job categories for Data Validation jobs in Washington, DC are:

Infographic showing various Data Validation job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $122,448 per year, or $58.9 per hour.

Systems Analyst (System/Data Analysis & Conversion) - Richmond, VA (Hybrid)

Yakshna Solutions, Inc.

Herndon, VA • On-site

$100 - $110/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Open Jobs

Mar 30 2026

798514 Systems Analyst (System/Data Analysis & Conversion)

Yakshna Solutions, Inc., (YSI) is a CMMI Level 3 assessed, ISO 9001, 20000:1, 27001 certified, woman‑owned small business enterprises, headquartered in Herndon, Virginia, USA. YSI provides professional IT solutions and services to business corporations and government organizations. YSI is committed to serve its business communities as a leading IT vendor providing innovative, quality, and cost‑effective IT business solutions and services.

YSI offers a competitive benefits package that includes the following: 401(k), health, dental, and vision insurance, Life insurance, short‑term and long‑term disability insurance, paid time off, training and professional development assistance.

Dept of Medical Assistance Services (DMAS) is seeking a highly skilled Systems Analyst with strong technical and analytical expertise in healthcare claims processing and comprehensive knowledge of data across all functional areas of the Medicaid Management Information System (MMIS) or similar large‑scale claims processing systems.

Job Responsibilities
  • Lead end to end FAS data conversion strategy, including mapping, transformation logic, and reconciliation.
  • Direct data validation cycles and resolve complex data anomalies to ensure accuracy and completeness of converted Member, Claims, and Finance data.
  • Manage mock conversion cycles and coordinate with technical and business teams to ensure readiness for migration.
  • Oversee data quality assessments and ensure converted data meets business, audit, and regulatory standards.
  • Develop and document conversion crosswalks and migration procedures for transitioning legacy data into FAS.
  • Partner with technical architects to optimize conversion performance, minimize downtime, and support a smooth cutover.
  • Provide governance oversight on system design decisions to ensure alignment with architectural standards and operational readiness requirements.
  • Perform data analysis related to data conversion from legacy systems to new platforms, including validation of mapping rules, data integrity checks, and reconciliation.
  • Assist in defining and executing data validation strategies to ensure accuracy and completeness during migration efforts.
  • Analyze large datasets to identify discrepancies, trends, and anomalies during conversion and testing phases.
  • Develop SQL/Teradata queries for data validation, reconciliation, and reporting.
  • Document data conversion rules, transformation logic, and validation results to support audit and compliance requirements.
  • Work closely with ETL developers and business teams to ensure data quality and consistency across systems.
  • Develop and execute the overall Test Strategy, including System Integration Testing (SIT), User Acceptance Testing (UAT), and End to End (E2E) testing for MMIS and MES modules.
  • Test Commercial Off the Shelf (COTS) applications and support data conversion and integration across MES modules and COTS products.
  • Create and support the development of Business Test Scenarios, Test Cases, and Test Data; assist with test execution activities.
  • Support ongoing releases, system enhancements, and production defect resolution.
  • Manage defect triage calls with multiple vendors and ensure accurate tracking and timely closure of defects.
  • Communicate UAT status, progress metrics, and results to stakeholders; maintain comprehensive historical testing documentation.
  • Collaborate effectively with technical teams, business users, and cross functional groups with minimal supervision.
Required skills and experience
  • Proven Agile Testing experience, with the ability to plan and execute functional, integration, and regression testing within iterative sprint cycles.
  • Data Analysis: Strong experience in data conversion, mapping rules, validation, ETL design, and programming logic.
  • Proficiency in Teradata, including query development.
  • Experience with Mainframe and DB2 testing preferred.
  • Test Management Tools: Extensive experience with Azure DevOps or similar platforms for planning, tracking, and executing test activities.
  • Defect Management: Strong experience leading UAT and defect triage across multiple systems/vendors.
  • Problem Solving: Strong debugging ability and experience acting as a liaison between developers and business users.
  • Excellent organizational and communication skills, with the ability to meet deadlines professionally and with strong customer focus.

$100K-110k/A with benefits

US Citizenship or Green card holder only

YSI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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