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Data Reviewer Jobs in Ohio (NOW HIRING)

CYNET SYSTEMS

Data Engineer

Mason, OH · On-site

$52 - $57/hr

Data Engineering Tech Lead (7-10+ Years Experience) Role Overview. * We are seeking an experienced ... reviews, design reviews, and technical decision-making. * Foster a culture of continuous ...

Medpace, Inc.

Data Manager - Imaging

Cincinnati, OH · On-site

Edit Check output review including review by Subject Matter Experts; and * Coordinate overall Data Management by serving as contact for MCL team members and external data management groups.

Booz Allen Hamilton

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

The Data Analyst applies their technical and analytical capabilities to support key business and ... analysis, review, and coordination. * Contribute to the creation and revision of technical ...

Element Materials Technology

Data Processor

Toledo, OH · On-site

Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis, submission of reports * Attending project meetings, schedule control, submit for permits for on ...

Medpace, Inc.

Data Manager - Imaging

Cincinnati, OH · On-site +1

Edit Check output review including review by Subject Matter Experts; and * Coordinate overall Data Management by serving as contact for MCL team members andexternal data management groups.

Booz Allen Hamilton, Inc.

Data Analyst

Dayton, OH · On-site

$61K - $141K/yr

The Data Analyst applies their technical and analytical capabilities to support key business and ... analysis, review, and coordination. * Contribute to the creation and revision of technical ...

Booz Allen Hamilton

Data Analyst

Dayton, OH · On-site

$61K - $141K/yr

R0241818 Data Analyst The Opportunity: The Data Analyst applies their technical and analytical ... analysis, review, and coordination. * Contribute to the creation and revision of technical ...

Booz Allen Hamilton, Inc.

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Share Data Analyst The Opportunity: The Data Analyst applies their technical and analytical ... analysis, review, and coordination. * Contribute to the creation and revision of technical ...

ComResource

Data Scientist

Columbus, OH

ComResource is looking for a Data Scientist. Responsibilities: * Develop and validate predictive ... Mentor junior team members, conduct code reviews, and contribute to team skill development.

LHH US

Senior Data Analyst

Columbus, OH

$90K - $108K/yr

This role is ideal for a highly analytical professional who enjoys reviewing large data sets, building meaningful reporting tools, and providing actionable recommendations to support business and ...

Rumpke

Safety Data Analyst

Cincinnati, OH · On-site

Safety Data Analyst supports data-driven safety analysis and improvements by identifying relationships and trends in data; uses techniques to display results of analyses; reviews data for accuracy ...

LHH US

Senior Data Analyst

Columbus, OH

$90K - $108K/yr

This role is ideal for a highly analytical professional who enjoys reviewing large data sets, building meaningful reporting tools, and providing actionable recommendations to support business and ...

Agility Partners

Data Modeler

Columbus, OH · On-site

$51.25 - $66.25/hr

ABOUT THE ROLE The Enterprise Data Lake team is looking for a Data Modeler to turn approved ... Ontology documents that pass standards review without a rework loop over missing diagrams, mistyped ...

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All JobsData Reviewer JobsData Reviewer Jobs in Ohio

Data Reviewer information

See Ohio salary details

$12

$24

$41

How much do data reviewer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data reviewer in Ohio is $24.95, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $34.52 per hour, depending on experience, location, and employer.

What is the difference between Data Reviewer vs Data Analyst?

AspectData ReviewerData Analyst
Required CredentialsTypically a bachelor's degree in data management, IT, or related fields; certifications like CDMP are commonBachelor's degree in statistics, data science, or related fields; certifications like CAP or Microsoft certifications are common
Work EnvironmentMostly office-based, working with data validation tools and softwareOffice or remote, analyzing data sets, creating reports, and visualizations
Employer & Industry UsageUsed in industries like finance, healthcare, and government for data quality assuranceUsed across industries for data-driven decision making and reporting

While both roles involve working with data, Data Reviewers focus on validating and ensuring data accuracy, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What is a data reviewer?

A data reviewer helps an organization review and interpret data for accuracy and interpretation. Data reviewers are necessary for many fields, including software development, quality assurance, medical and health care professions, and accounting, to name a few. Your responsibilities and duties are to look through collected data that has been entered into a spreadsheet or other database. You check it for any errors and manage issues you find. Some data reviewer positions, such as in medical research, include an analytical component; you help the research team to glean insight from the collected data.

What are the key skills and qualifications needed to thrive as a data reviewer, and why are they important?

To thrive as a Data Reviewer, you need strong analytical skills, attention to detail, and typically a background in life sciences, statistics, or a related field. Familiarity with data management systems, electronic data capture (EDC) platforms, and compliance standards such as GCP is commonly required. Excellent problem-solving, critical thinking, and communication skills help you identify discrepancies and collaborate with cross-functional teams. These competencies are crucial for ensuring data integrity, regulatory compliance, and the reliability of research outcomes.

How does a data reviewer typically collaborate with other teams to ensure data quality?

Data Reviewers work closely with data entry specialists, analysts, and project managers to verify the accuracy and consistency of datasets. They often participate in cross-functional meetings to discuss data discrepancies and establish best practices for data validation. This collaboration helps maintain high-quality data standards and ensures that any issues are promptly identified and resolved, supporting the overall goals of the organization.
More about Data Reviewer jobs

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

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

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

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

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

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Data Reviewer jobs near you
Infographic showing various Data Reviewer job openings in Ohio as of August 2026, with employment types broken down into 2% Internship, 79% Full Time, 2% Part Time, 4% Temporary, 11% Contract, and 2% Nights. Highlights an 93% In-person, 2% Hybrid, and 5% Remote job distribution, with an average salary of $51,892 per year, or $24.9 per hour.

Data Engineer

CYNET SYSTEMS

Mason, OH • On-site

$52 - $57/hr

Contractor

Re-posted 9 days ago

Job description

Job Overview:
 
Pay Range: $52hr - $57hr
  • Data Engineering Tech Lead (7-10+ Years Experience) Role Overview.
  • We are seeking an experienced Data Engineering Tech Lead with 7-10+ years of experience to design, build, and lead scalable data engineering solutions across enterprise platforms.
  • The ideal candidate will be responsible for architecting data pipelines, leading engineering teams, collaborating with business and cross-functional IT teams, and delivering high-quality data platforms, analytics, and reporting solutions.
Responsibilities:
  • Data Engineering & Architecture Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
  • Build robust data ingestion frameworks for structured and unstructured data sources.
  • Architect and implement data lakes, data warehouses, and data marts.
  • Ensure high performance, scalability, and reliability of data systems Pipeline & Data Platform Development Develop and optimize batch and real-time data processing pipelines.
  • 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 downstream systems Database & Data Modeling Design and maintain SQL and NoSQL databases (e.g., MongoDB, relational systems).
  • Develop complex SQL queries, stored procedures, and performance tuning strategies Implement data models (dimensional, star/snowflake schemas).
  • Ensure data consistency, integrity, and governance Cloud & Data Ecosystem Design and manage cloud-based data platforms (AWS / Azure / GCP) Implement CI/CD pipelines for data engineering workflows.
  • Ensure availability, scalability, and reliability of data environments Leadership & Technical Mentoring Lead and mentor a team of Data Engineers and Developers Guide best practices, coding standards, and performance optimization Conduct code reviews, design reviews, and technical decision-making.
  • Foster a culture of continuous improvement and innovation.
  • Agile Delivery & Stakeholder Collaboration Work within Scrum/Agile teams, participating in sprint planning, reviews, and retrospectives.
  • Collaborate with Product Owners, Business Analysts, and Architects Work closely with cross-functional IT teams to deliver end-to-end data solutions.
  • Translate business needs into technical data solutions and architecture designs Data Quality, Governance & Compliance Implement frameworks for data quality, validation, and monitoring.
  • Ensure compliance with enterprise data governance and security standards Support regulatory and audit requirements where applicable.
Required Skills and Experience:
  • 7-10+ years of experience in Data Engineering / Data Platforms Strong expertise in: SQL and NoSQL databases (e.g., MongoDB) ETL/ELT pipelines and data integration.
  • Data warehousing and data modeling concepts.
  • Experience with big data and distributed systems (Spark, Hadoop, etc.) Hands-on experience with cloud platforms (AWS/Azure/GCP).
  • Experience with workflow orchestration tools (Airflow, ADF, etc.) Strong knowledge of CI/CD and DevOps for data pipelines.
  • Proven experience in leading and mentoring engineering teams.
Preferred Skills:
  • Experience in Healthcare / Insurance / Data Analytics platforms.
  • Exposure to real-time streaming frameworks (Kafka, Kinesis, etc.).
  • Experience in data governance and data quality frameworks.
  • Familiarity with API integrations and microservices architecture.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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