1

Data Validation Jobs (NOW HIRING)

Seeking a Senior QA Analyst with 7+ years of experience to validate enterprise data pipelines & cloud integrations. This role balances automated testing with essential manual validation to ensure ...

This person will be validating existing customer demographics, Class of Trade and cross references in the Informatics MDM system. The individual will be responsible in utilizing third party and ...

We are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data quality, and exploratory data analysis. This role focuses on ensuring data is accurate, reliable ...

Perform data validation and quality checks * Support KPI and trend reporting * Assist with ad-hoc analysis * Document metrics and reports Required Qualifications * 2-3 years of experience in data ...

Perform data validation and quality checks * Support KPI and trend reporting * Assist with ad-hoc analysis * Document metrics and reports Required Qualifications * 2-3 years of experience in data ...

next page

Showing results 1-20

DATA Validation information

See salary details

$22

$51

$78

How much do data validation jobs pay per hour?

As of Jul 19, 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.
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:
Auditor, Risk Adjustment Data Validation

Auditor, Risk Adjustment Data Validation

University Health

San Antonio, TX • On-site

$22.10 - $38.25/hr

Full-time

Posted 4 days ago


University Of Nevada (Reno) rating

8.1

Company rating: 8.1 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

137th of 555 rated colleges and universities


Job description

POSITION SUMMARY/RESPONSIBILITIES
The Risk Adjustment Data Validation (RADV) Auditor is responsible for auditing medical records to validate ICD-10-CM coding accuracy and ensure compliance with Centers for Medicare and Medicaid (CMS) and RADV guidelines. This role focuses on performing detailed audits, analyzing data, and collaborating with providers and internal teams to support Hierarchical Condition Categories (HCC) ratio goals and risk adjustment improvement initiatives. The auditor prepares customized reports based on data analysis and provides actionable recommendations to enhance operational and clinical performance. Additionally, the position assists in managing data collection processes and develops procedures for monitoring, validating, and reconciling data for accuracy. Working closely with cross-functional teams, the auditor supports compliance, quality assurance, and risk mitigation strategies while contributing to the development of tools and processes to improve coding accuracy and audit efficiency.
EDUCATION/EXPERIENCE
Bachelor's degree required. Coding certification (such as CPC, CRC, or CCS) is preferred, or candidates must demonstrate a willingness to obtain certification within 6-12 months of hire. Applicants should have 1-2 years of healthcare experience; prior coding experience is preferred. Strong analytical and problem-solving skills, coupled with attention to detail, are essential. Candidates must possess the ability to learn and apply ICD-10-CM coding principles, exhibit excellent communication and organizational skills. Proficiency in health information systems, electronic health records (EHRs), HEDIS, RADV, and claims data analysis is a plus.
LICENSURE/CERTIFICATION
Coding certification within 2 years of employment (e.g., Certified Professional Coder - CPC, Certified Risk Adjustment Coder-CRC)

What University Of Nevada (Reno) employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom