ZipRecruiter

Log In

1

Data Validation Jobs in Ohio (NOW HIRING)

A-TEK Inc.

Health IT Data Engineer

Continental, OH · Remote

$125K - $135K/yr

Implement data validation and quality control procedures. * Optimize database and reporting performance. * Support Power BI, Tableau, and enterprise reporting platforms. * Develop automation ...

Compunnel, Inc.

Data Entry Clerk

Cleveland, OH · On-site

$18/hr

Validate automated document classifications and correct classification exceptions. Review and validate automatically extracted data from digital documents, correcting low-confidence exceptions.

CYNET SYSTEMS

Data Engineer

Mason, OH · On-site

$52 - $57/hr

Work with modern tools such as Airflow, AWS Glue, Azure Data Factory, PySpark, or equivalent Implement data validation, monitoring, and quality frameworks. * Enable integration across upstream and ...

Vertanical

$90 - $120/hr

You will develop and review Data Management Plans, Data Validation Plans, edit check specifications and other study-specific documentation. * You will lead the selection, management and technical ...

New

Kemper

Senior Data Systems Analyst

Cincinnati, OH

$82K - $104K/yr

Validate system behavior under expected and peak business workloads. * Assess data processing performance and service-level requirements. End-to-End Data Workflow Testing * Design and execute test ...

LHH US

Sr. Data Analyst

Hilliard, OH

$85K - $110K/yr

Write complex SQL queries to extract, cleanse, analyze, and validate data from multiple systems and databases. * Analyze distribution, inventory, logistics, fulfillment, transportation, and customer ...

LHH US

Sr. Data Analyst

Hilliard, OH · On-site

$85K - $110K/yr

Write complex SQL queries to extract, cleanse, analyze, and validate data from multiple systems and databases. * Analyze distribution, inventory, logistics, fulfillment, transportation, and customer ...

ALLOBAAS

Data Engineering Lead

Lakewood, OH · On-site

Lead the implementation and continuous improvement of data validation, reconciliation, monitoring, and quality control processes. * Establish standards for data quality checks, issue tracking, data ...

AlloBaas

Data Engineering Lead

Lakewood, OH · On-site

Lead the implementation and continuous improvement of data validation, reconciliation, monitoring, and quality control processes. * Establish standards for data quality checks, issue tracking, data ...

Sarian, Inc.

Kafka Tester

Strongsville, OH · On-site

Experience with SQL for data validation and debugging. * ETL: Experience with ETL processes and data warehousing concepts. * Test Automation: Experience in developing and maintaining automated tests ...

CPN Legal

Be Seen First

Data Solutions Analyst

Cincinnati, OH · On-site

$30 - $35/hr

Validate and reconcile data from various financial and operational systems including Quickbooks and Clio. * Identify trends, inconsistencies, or anomalies in data and escalate issues when necessary.

Macy's

Manager, PTO Data Systems

Springdale, OH

$67K - $112K/yr

Initiate, validate, and reconcile PTO and absence-related updates, assessing upstream and ... Perform in-depth data audits using system logs, audit trails, and configuration tables to diagnose ...

previous page

Showing results 41-60

All JobsData Validation JobsData Validation Jobs in Ohio

Data Validation information

See Ohio salary details

$21

$49

$74

How much do data validation jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data validation in Ohio is $49.43, according to ZipRecruiter salary data. Most workers in this role earn between $37.50 and $60.10 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.

What are the most commonly searched types of Data Validation jobs in Ohio?

The most popular types of Data Validation jobs in Ohio are:

What are popular job titles related to Data Validation jobs in Ohio?

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

What job categories do people searching Data Validation jobs in Ohio look for?

The top searched job categories for Data Validation jobs in Ohio are:

What cities in Ohio are hiring for Data Validation jobs?

Cities in Ohio with the most Data Validation job openings:

Data Validation jobs near you
Infographic showing various Data Validation job openings in Ohio as of August 2026, with employment types broken down into 58% Full Time, 14% Part Time, 14% Temporary, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $102,820 per year, or $49.4 per hour.

Health IT Data Engineer

A-TEK Inc.

Continental, OH • Remote

$125K - $135K/yr

Full-time

Re-posted 18 days ago

Job description

The Health IT Data Engineer will design, build, integrate, and optimize enterprise data pipelines and analytics environments supporting Health IT modernization initiatives. The successful candidate will work closely with analysts, data scientists, and application teams to deliver scalable, secure, and high-quality data solutions. This is a remote position requiring all work be performed in the continental United States. US Citizenship is required for consideration for this position.

Essential Responsibilities

  • Design and develop enterprise data pipelines and ETL processes.
  • Develop logical and physical data models.
  • Integrate data from multiple enterprise systems.
  • Implement data validation and quality control procedures.
  • Optimize database and reporting performance.
  • Support Power BI, Tableau, and enterprise reporting platforms.
  • Develop automation processes supporting data ingestion and transformation.
  • Ensure compliance with Government security and privacy requirements.
  • Troubleshoot data integration issues and performance bottlenecks.
  • Support cloud-based analytics environments and data modernization initiatives.
  • Prepare technical documentation and data architecture diagrams.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field.
  • Minimum seven (7) years of data engineering experience.
  • Strong SQL development skills.
  • Experience designing ETL pipelines.
  • Experience with relational databases and data warehousing.
  • Experience supporting enterprise reporting platforms.
  • Ability to obtain DHS Public Trust suitability.

Preferred Qualifications

  • Azure Data Factory, Synapse, Databricks, or Microsoft Fabric experience.
  • Power BI and Tableau development experience.
  • Healthcare data integration experience.
  • Knowledge of HL7 or FHIR standards.

Compensation

Expected Salary Range: $125,000-$135,000 annually. Actual compensation will be determined based on experience, qualifications, geographic location (if applicable), and final contract funding.

This position is expected to support a federal customer. Employment is contingent upon contract award and successful completion of any required background investigation or security requirements.

Apply