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Data Validation Jobs (NOW HIRING)

Apply knowledge of analytical chemistry, environmental sampling design, laboratory methods, data validation principles, data quality objectives, UFP-QAPP requirements, laboratory QA/QC requirements ...

Apply knowledge of analytical chemistry, environmental sampling design, laboratory methods, data validation principles, data quality objectives, UFP-QAPP requirements, laboratory QA/QC requirements ...

NJ · On-site

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 ...

Plant Data Validator

Florence, SC · On-site

$85K - $95K/hr

Position: Plant Data Validator Work Location: Florence, SC Duration: Fulltime/Direct Hire 1. ... Participate in PDR review meetings with Engineering & Operations. _____ 4. BOM & Routing Validation

Senior Data Analyst

Dahlgren, VA · On-site

$87K - $110K/yr

Responsibilities include: • Systems development activities include data table/structure design, data acquisition, system specifications, data validation and documentation. • Data Analyst support ...

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 ...

Showing results 41-60

DATA Validation information

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$22

$51

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How much do data validation jobs pay per hour?

As of Sep 8, 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 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 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 the work of data validation?

Data validation is a key responsibility in data validation roles, involving checking data for accuracy, completeness, and consistency to ensure it meets specified standards. It often requires knowledge of data management tools and techniques to identify errors and prevent incorrect data from entering systems, supporting data quality and integrity.
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Infographic showing various Data Validation job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

Auditor, Risk Adjustment Data Validation

San Antonio, TX • On-site

$22.10 - $38.25/hr

Full-time

Re-posted 25 days ago


University Health System (San Antonio) rating

8.0

Company rating: 8.0 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

90th of 898 rated healthcare providers


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)

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