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Data Processing Jobs in Ohio (NOW HIRING)

Understanding data processing rules, fundamentals of data environment * Circle back to business plan--make results make sense Technical Acumen * Adobe Analytics - expert level, would like to see ...

Data Engineer

Dayton, OH · On-site

$70K - $118K/yr

Support development of new applications and processes. * Identify and explain issues with accepted raw data types. * Identify, explain, and apply benefits of revised processing techniques for ...

Data Engineer

Cleveland, OH · On-site

$70K - $118K/yr

Support development of new applications and processes. * Identify and explain issues with accepted raw data types. * Identify, explain, and apply benefits of revised processing techniques for ...

Data Engineer

Dayton, OH · On-site

$111.30K - $133.60K/yr

Improve raw data and PED systems supporting Requests for Information (RFI), rapid scripting, process improvement, technique discovery, and raw data validation. Effectively script in a variety of ...

Understanding data processing rules, fundamentals of data environment * Circle back to business plan--make results make sense Technical Acumen * Adobe Analytics - expert level, would like to see ...

New

Data Engineer - Cloud/AI

Westerville, OH · On-site

$111K - $133.40K/yr

You will work in a dynamic environment, using the latest data processing and storage technologies and best practices. You will work with data scientists, analysts, and product teams to ensure data is ...

Data Engineer - Cloud/AI

Westerville, OH

$110.40K - $132.50K/yr

You will work in a dynamic environment, using the latest data processing and storage technologies and best practices. You will work with data scientists, analysts, and product teams to ensure data is ...

Data Engineer - Cloud/AI

Columbus, OH · On-site

$107K - $128.50K/yr

You will work in a dynamic environment, using the latest data processing and storage technologies and best practices. You will work with data scientists, analysts, and product teams to ensure data is ...

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110.40K - $132.50K/yr

You will work in a dynamic environment, using the latest data processing and storage technologies and best practices. You will work with data scientists, analysts, and product teams to ensure data is ...

Java/ Data Engineer

Dayton, OH · On-site

$50.25 - $69/hr

Design, build, test, and maintain Java-based applications and data-processing components. * Develop reliable Java logic for data validation, transformation, enrichment, processing, and workflow ...

Data Engineer

Dayton, OH · On-site

$111.30K - $133.60K/yr

Support development of new applications and processes. Identify and explain issues with accepted raw data types. Identify, explain, and apply benefits of revised processing techniques for improving ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

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Showing results 1-20

Data Processing information

See Ohio salary details

$11

$19

$33

How much do data processing jobs pay per hour?

As of May 28, 2026, the average hourly pay for data processing in Ohio is $19.27, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $21.25 per hour, depending on experience, location, and employer.

What is a Data Processing job?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Data Processing position, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What are the typical daily responsibilities of someone working in Data Processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What job makes $10,000 a month without a degree?

In data processing, high-paying roles such as data analysts or data engineers can earn around $10,000 per month, especially with specialized skills in programming, database management, and data analysis tools. These positions often require experience and proficiency in software like SQL, Python, or cloud platforms, but may not always require a formal degree if skills are demonstrated through certifications or a strong portfolio.
What are the most commonly searched types of Data Processing jobs in Ohio? The most popular types of Data Processing jobs in Ohio are:
What cities in Ohio are hiring for Data Processing jobs? Cities in Ohio with the most Data Processing job openings:
Infographic showing various Data Processing job openings in Ohio as of May 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $40,075 per year, or $19.3 per hour.

Ergon Asphalt and Emulsions - Data Analysts I (2)

Ergon Asphalt and Emulsions, Inc

Heath, OH • On-site

Full-time

Posted 8 days ago


Job description

We are a great company with great pay and great benefits. Ergon, Inc. is a relationship-driven company that values each employee's willingness to learn and contribute to the team. We are family owned with locations throughout the world, but we pride ourselves on maintaining a small-company feel.

Position Summary

The Data Analyst I is responsible for supporting the development, management, and validation of accurate roadway inventory and condition data across all client projects. This entry-level role plays a key part in transforming raw data into structured, reliable information that supports Pavement Condition Index (PCI) calculations, reporting, and final deliverables.

Working under general supervision, the Data Analyst I assists in ensuring data integrity, supporting condition assessments, and contributing to quality assurance processes. This role also supports ongoing improvements to roadway analysis tools.

Key Responsibilities

Data Management & Processing

  • Collect, organize, and process roadway inventory and condition data from multiple sources
  • Validate data accuracy and completeness in alignment with ASTM standards
  • Perform routine data remediation tasks, including identifying inconsistencies, correcting errors, and standardizing datasets
  • Maintain organized and traceable datasets to support downstream analysis and reporting

Analysis & Reporting Support

  • Assist in preparing datasets for PCI calculations and project deliverables
  • Perform basic data analysis to identify trends, anomalies, and data gaps
  • Support the generation of client-ready outputs by ensuring consistency and accuracy of data

AI Data Validation & Support

  • Review roadway distress outputs
  • Validate distress types, severity levels, and quantities against established standards
  • Provide feedback on outputs to support continuous improvement and model refinement
  • Assist in bridging automated data processing with human quality validation

Quality Assurance & Standards Compliance

  • Support QA/QC processes by reviewing datasets for adherence to quality standards
  • Ensure consistency across data systems and project deliverables
  • Participate in maintaining and improving data standards and documentation

Collaboration & Process Improvement

  • Work closely with GIS, QA/QC, and operations teams to ensure seamless data integration
  • Support cross-functional efforts to deliver projects on time and within quality expectations
  • Contribute to workflow efficiencies, process improvements, and scalability initiatives

Qualifications

Education

  • Associate's degree (or in pursuit of) in Data Analytics, Engineering, GIS, Computer Science, Statistics, or a related field (or equivalent experience)

Experience

  • 0–2 years of experience in data analysis, data processing, or a related field
  • Exposure to infrastructure, roadway, or asset management data preferred but not required

Technical Skills

  • Basic proficiency in data analysis tools (e.g., Excel, SQL, or similar)
  • Familiarity with GIS concepts or tools (e.g., ArcGIS, QGIS) is a plus
  • Ability to work with large datasets and perform data validation
  • Exposure to AI/ML concepts or data labeling/validation is beneficial

Core Competencies

  • Strong attention to detail and commitment to data accuracy
  • Analytical thinking and problem-solving skills
  • Ability to follow defined processes and standards
  • Effective communication and teamwork skills
  • Willingness to learn and adapt in a technology-driven environment

Working Conditions

  • Primarily office-based or remote work with extended periods of computer use
  • May require occasional coordination across teams or departments to meet project deadlines

Come join the team!

Must be able to pass a pre-employment drug screen and background check. A clean MVR is required.

We are an EEO/AAP employer.

Job Role: Data Analyst I

Location: Heath, OH


Job Posted by ApplicantPro