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Data Validation Jobs (NOW HIRING)

MM International

Data Validation Engineer

Denver, CO · On-site

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 ...

Libra Solutions

Risk & Data Validation Specialist

Position Summary The Risk & Data Validation Specialist will be member of the Enterprise Risk Team with strong attention to detail and analytical skills. Their role is to verify ongoing customer ...

CACI International, Inc.

Data Validator

Riverside, CA · On-site

$31.99/hr

Responsibilities: • Validation of source data prior to loading into Material Readiness Database (MRDB) • Ensure data integrity in CASREP Information System (CIS) • Reviewing Fleet Failure data ...

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How much do data validation jobs pay per hour?

As of Jun 6, 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 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.

More about Data Validation jobs
What cities are hiring for Data Validation jobs? Cities with the most Data Validation job openings:
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Data Validation jobs near you
Infographic showing various Data Validation job openings in the United States as of May 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $108,152 per year, or $52 per hour.
Data Validation Engineer

Data Validation Engineer

MM International

Denver, CO • On-site

Contractor

Posted 4 days ago

Job description

Title - Data Validation Engineer

Location: Denver, CO- onsite (local)

Job Description:

  • 5+ years in QA & Minimum experience 8-10 years overall, data validation, or related technical roles, with proven success in leading validation efforts as a senior individual contributor. – Must
  • Strong proficiency in SQL, Python, and test automation frameworks (PyTest, WebdriverIO, Mocha, etc.) – Must
  • Demonstrated experience testing data pipelines, APIs, and analytics workflows in CI/CD environments.
  • Excellent problem-solving skills and ability to communicate technical results in clear business terms.
  • Proven ability to influence peers and lead initiatives without formal authority. Interested in management track
  • Expertise in data visualization and QA dashboards (Tableau, OpenSearch). - MUST
  • Experience testing across connected devices (iOS, Android, Roku, Apple TV, SamsungTV) is plus
  • Familiarity with Git, YAML, and data governance frameworks.
  • Exposure to AI- or ML-based validation and automation tools.
  • Interest in developing leadership and mentoring skills, with a long-term goal of growing into a management role.