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Data Validation Engineer Jobs (NOW HIRING)

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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 ...

Genovice

CSV Validation Engineer

Atlanta, GA · Remote

$90K - $125K/hr

GxP and data-integrity risk assessments * Validation test plans and protocols * Installation ... Review engineering test plans and results to determine whether existing evidence can be ...

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Data Validation Engineer information

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How much do data validation engineer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for data validation engineer 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 is a data validation engineer?

Data Validation Engineers are professionals responsible for ensuring the accuracy, quality, and integrity of data within software systems or databases. They design and implement tests, validation protocols, and automated processes to verify that data meets specified requirements and is free from errors. Data Validation Engineers often work closely with data engineers, analysts, and developers to identify inconsistencies, troubleshoot issues, and maintain reliable datasets crucial for business operations and decision-making.

What are the key skills and qualifications needed to thrive as a data validation engineer?

To thrive as a Data Validation Engineer, you need strong analytical skills, a background in computer science or engineering, and experience with data quality assurance methodologies. Familiarity with database management systems, data validation tools (like Talend or Informatica), and scripting languages such as Python or SQL is typically required. Attention to detail, problem-solving abilities, and effective communication are critical soft skills in this role. These competencies are essential for ensuring data integrity, minimizing errors, and supporting reliable business decision-making.

What are the typical challenges faced by data validation engineers when working with large and complex datasets?

Data Validation Engineers often encounter challenges such as handling inconsistent data formats, ensuring data integrity across multiple sources, and managing large-scale datasets efficiently. Identifying subtle data anomalies and implementing robust automated validation scripts can be difficult, especially when data is unstructured or rapidly changing. Collaboration with data engineers, analysts, and quality assurance teams is essential to develop effective validation strategies and maintain high data quality standards throughout the data pipeline.

What is the difference between Data Validation Engineer vs Data Analyst?

AspectData Validation EngineerData Analyst
Primary FocusEnsuring data accuracy, integrity, and validation processesAnalyzing data to identify trends and generate reports
Skills & CertificationsData validation tools, SQL, scripting, quality assuranceData analysis, visualization, statistical skills, Excel, SQL
Work EnvironmentData warehouses, ETL pipelines, quality assurance teamsBusiness units, reporting teams, data-driven departments
Industry UsageTech, finance, healthcare, where data quality is criticalMarketing, finance, consulting, where insights drive decisions

While both roles work with data, Data Validation Engineers focus on verifying data accuracy and integrity during data processing, whereas Data Analysts interpret data to provide insights and support decision-making. Understanding these differences helps organizations assign the right skills to each role.

What cities are hiring for Data Validation Engineer jobs?

Cities with the most Data Validation Engineer job openings:

What states have the most Data Validation Engineer jobs?

States with the most job openings for Data Validation Engineer jobs include:

What are popular job titles related to Data Validation Engineer jobs?

For Data Validation Engineer jobs, the most frequently searched job titles are:

Infographic showing various Data Validation Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

Data Validation Engineer

Minneapolis, MN • On-site

Centillion Infotech LLC
IT Services • 51 - 200 employees
Learn more about Centillion Infotech LLCexternal

Other

Posted 9 days ago

Job description

Data Validation Engineer I Minneapolis MN ( Day 1 onsite - 3 days WF0)

Location - Minneapolis MN ( Day 1 onsite - 3 days WF0)

Client: Wipro

  • 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
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