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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 Engineer

Richfield, PA ยท On-site

$60K - $135K/yr

Data Validation Engineer City: Richfield State/Province: Minnesota Posting Start Date: 7/9/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting ...

Data Validation Supervisor

Spring Valley, NY ยท On-site +1

$29 - $34/hr

Description The Data Validation Supervisor oversees the coordination, review, and validation of data and system requests to support business operations and reporting needs. This role works closely ...

New

Position: -Data Validation Consultant Experience: -8+ Years Location: -Remote Responsibilities: - * Strong SQL skills (preferably Snowflake SQL) * Experience with metadata-driven validation ...

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 ...

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 ...

Data Validation Risk - Manager

Dallas, TX ยท On-site

$99K - $232K/yr

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 Director & Summary The Opportunity As a Data Validation Risk Director, you will lead efforts 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 Jul 18, 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.

Is a data analyst a well paid job?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but with skills in SQL, Excel, and data visualization tools, salaries tend to increase with experience and certifications like CAP or Microsoft Certified Data Analyst. Overall, it is considered a well-paying role within the data and analytics field.

What is a data validator job?

A data validator job involves reviewing and checking data for accuracy, completeness, and consistency to ensure it meets quality standards. This role often requires attention to detail, familiarity with data management tools, and understanding of data validation techniques. Data validators help organizations maintain reliable data for decision-making and reporting.

Can I be a data analyst with no experience?

Data analyst roles typically require some knowledge of data analysis tools like Excel, SQL, or Python, but entry-level positions may be available for candidates with little or no experience if they demonstrate strong analytical skills and a willingness to learn. Gaining relevant certifications or completing online courses can improve your chances of starting in this field. Practical experience through internships or projects can also be beneficial for entry-level applicants.

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 is the work of data validation?

Data validation is a key responsibility of data validation specialists, involving checking data for accuracy, completeness, and consistency to ensure it meets specified standards. They use tools like spreadsheets or validation software and often work with databases to identify and correct errors, supporting data integrity for decision-making. Attention to detail and knowledge of data quality principles are essential in this role.
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Data Validation Engineer

Data Validation Engineer

MM International

Denver, CO โ€ข On-site

Contractor

Re-posted 15 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,ย dataย validation, or related technical roles, with proven success in leadingย validationย efforts as a senior individual contributor. โ€“ Must
  • Strong proficiency in SQL, Python, and test automation frameworks (PyTest, WebdriverIO, Mocha, etc.) โ€“ Must
  • Demonstrated experience testingย dataย 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 inย dataย visualization and QA dashboards (Tableau, OpenSearch). - MUST
  • Experience testing across connected devices (iOS, Android, Roku, Apple TV, SamsungTV) is plus
  • Familiarity with Git, YAML, andย dataย governance frameworks.
  • Exposure to AI- or ML-basedย validationย and automation tools.
  • Interest in developing leadership and mentoring skills, with a long-term goal of growing into a management role.