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Data Validation Jobs (NOW HIRING)

Title - Data Validation Engineer Location: Denver, CO- onsite (local) * 5+ years in QA & Minimum experience 8-10 years overall, data validation, or related technical roles, with proven success in ...

Data Validation Assistant Houston, TX Pay Rate: $23.38 per hour, W2 Duration: 6+ Month Contract Work Mode: Onsite Summary: * Part-time position - 30 hours per week, Flexible hours during normal ...

Data Validation Assistant Houston, TX Pay Rate: $23.38 per hour, W2 Duration: 6+ Month Contract Work Mode: Onsite Part-time position - 30 hours per week, Flexible hours during normal working hours.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Validation Risk Manager, you will play a pivotal role within our Risk ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Validation Risk Manager, you will play a pivotal role within our Risk ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Validation Risk Manager, you will play a pivotal role within our Risk ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary The Opportunity As a Data Validation Risk Director, you will lead efforts within our Risk ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Validation Risk Manager, you will play a pivotal role within our Risk ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Validation Risk Manager, you will play a pivotal role within our Risk ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Validation Risk Manager, you will play a pivotal role within our Risk ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Validation Risk Manager, you will play a pivotal role within our Risk ...

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Data Validation information

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$22

$51

$78

How much do data validation jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data validation in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.22 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.
More about Data Validation jobs
What cities are hiring for Data Validation jobs? Cities with the most Data Validation job openings:
What are the most commonly searched types of Data Validation jobs? The most popular types of Data Validation jobs are:
What states have the most Data Validation jobs? States with the most job openings for Data Validation jobs include:
What job categories do people searching Data Validation jobs look for? The top searched job categories for Data Validation jobs are:
Infographic showing various Data Validation job openings in the United States 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 $108,152 per year, or $52 per hour.

Data Validation Engineer

Futran Tech Solutions Pvt. Ltd.

Minneapolis, MN • On-site

Full-time

Posted 14 days ago


Job description

Data Validation Engineer
Location: Minneapolis, MN
Job Description:
  • Validate billing, campaign, and transaction data across Pitch-to-Pay workflows; build reconciliation between planned, delivered, and billed data; eliminate financial discrepancies & manual reconciliation
  • Financial data validation & reconciliation
  • SQL, data auditing
  • Billing / OMS systems knowledge
  • Attention to detail
  • Understanding of campaign → revenue linkage