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Data Engineers Jobs in Ohio (NOW HIRING)

Donato Technologies, Inc

Data Engineers

Columbus, OH · On-site

$110K - $132K/yr

Data Engineers Columbus OH and Jersey City, NJ (With in the state) 7 Positions Experience: 8+ Years AWS , Databricks, Pyspark, Splunk. Must have skills: AWS , Databricks, Pyspark, Splunk.

FlightSafety International

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

This role provides technical leadership to Senior Data Engineers and Senior Analytics Engineers, ensuring best practices in data engineering, analytics, and reporting. The Lead Data Engineer plays a ...

FlightSafety International

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

This role provides technical leadership to Senior Data Engineers and Senior Analytics Engineers , ensuring best practices in data engineering, analytics, and reporting. The Lead Data Engineer plays a ...

FlightSafety International

Lead Data Engineer

Columbus, OH

$110K - $132K/yr

This role provides technical leadership to Senior Data Engineers and Senior Analytics Engineers , ensuring best practices in data engineering, analytics, and reporting. The Lead Data Engineer plays a ...

FlightSafety International

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

This role provides technical leadership to Senior Data Engineers and Senior Analytics Engineers , ensuring best practices in data engineering, analytics, and reporting. The Lead Data Engineer plays a ...

FlightSafety International

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

This role provides technical leadership to Senior Data Engineers and Senior Analytics Engineers , ensuring best practices in data engineering, analytics, and reporting. The Lead Data Engineer plays a ...

CYNET SYSTEMS

Data Engineer

Mason, OH · On-site

$52 - $57/hr

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 ...

CrossCountry Mortgage

Data Engineering Manager

Cleveland, OH · On-site

$111K - $133K/yr

This role manages data engineers/developers and drives the technical solutions in support of various business services including analytics, reporting, AI analysis, modeling, data integration, and ...

System One

Data Engineer - Contractor

Miamisburg, OH · On-site

$102K - $123K/yr

Team consists of Data Engineers and Quality Engineers * Heavy interaction with business users and technical teams * Focused on Home Lending Technology and Mortgage Data Platforms * Agile ...

System One

Data Engineer - Contractor

Miamisburg, OH · On-site

$102K - $123K/yr

Team consists of Data Engineers and Quality Engineers * Heavy interaction with business users and technical teams * Focused on Home Lending Technology and Mortgage Data Platforms * Agile ...

System One

Data Engineer - Contractor

Miamisburg, OH · On-site

$102K - $123K/yr

Team consists of Data Engineers and Quality Engineers * Heavy interaction with business users and technical teams * Focused on Home Lending Technology and Mortgage Data Platforms * Agile ...

System One

Data Engineer - Contractor

Miamisburg, OH · On-site

$102K - $123K/yr

Team consists of Data Engineers and Quality Engineers * Heavy interaction with business users and technical teams * Focused on Home Lending Technology and Mortgage Data Platforms * Agile ...

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All JobsData Engineers JobsData Engineers Jobs in Ohio

Data Engineers information

See Ohio salary details

$42.3K

$123.3K

$168.7K

How much do data engineers jobs pay per year?

As of Jul 31, 2026, the average yearly pay for data engineers in Ohio is $123,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,700.00 per year, depending on experience, location, and employer.

Is a data engineer a high paying job?

Data engineers typically earn high salaries due to their specialized skills in designing and maintaining data pipelines, working with tools like SQL, Python, and cloud platforms. Compensation varies by experience, location, and industry, but overall, it is considered a well-paying role in the tech field.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, build, and maintain data infrastructure. Data engineers are essential for managing complex data pipelines, ensuring data quality, and implementing scalable solutions using tools like SQL, Python, and cloud platforms. Their expertise remains critical in developing and overseeing AI systems and analytics workflows.

What does a data engineer actually do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What engineers make 500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries of $500,000 or more, especially in high-cost living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How do Data Engineers typically collaborate with Data Scientists and other team members on data-driven projects?

Data Engineers play a crucial role in enabling data-driven projects by designing, building, and maintaining the data infrastructure that Data Scientists and analysts rely on. They often work closely with Data Scientists to understand their data requirements, ensure data quality, and optimize data pipelines for efficient analysis. Collaboration involves frequent communication to align on data formats, data availability, and performance needs, as well as troubleshooting issues that may arise with data ingestion or transformation. This teamwork ensures that data is accessible, reliable, and actionable, which is essential for successful analytical and machine learning initiatives.

What is the difference between Data Engineers vs Data Analysts?

AspectData EngineersData Analysts
Required CredentialsBachelor's in Computer Science, Engineering, or related field; often certifications in cloud platforms or data engineering toolsBachelor's in Statistics, Mathematics, or related field; certifications in data analysis or visualization tools
Work EnvironmentBuild and maintain data pipelines, work with big data technologies, often in cloud environmentsAnalyze data, create reports and dashboards, work with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerce; focus on data infrastructureMarketing, finance, retail, healthcare; focus on data insights for decision-making

Data Engineers focus on developing and maintaining data infrastructure, while Data Analysts interpret data to provide actionable insights. Both roles are essential but serve different functions within data teams.

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

To thrive as a Data Engineer, you need strong skills in programming (especially Python, Java, or Scala), database management, data modeling, and typically a degree in computer science or a related field. Familiarity with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms (AWS, Azure, or GCP) as well as relevant certifications are common technical requirements. Excellent problem-solving, attention to detail, and effective communication are soft skills that help Data Engineers excel in collaborative and fast-paced environments. These skills are crucial for ensuring robust, scalable, and efficient data pipelines that support reliable analytics and business decision-making.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain systems that collect, store, and process large amounts of data. Their primary role is to ensure that data is accessible, reliable, and efficiently structured for analysis by data scientists and other stakeholders. They work with various tools and technologies to create pipelines that move and transform data from multiple sources, making it usable for business intelligence and analytics. Data Engineers also focus on optimizing data workflows to ensure scalability and performance.
What are popular job titles related to Data Engineers jobs in Ohio? For Data Engineers jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Engineers jobs in Ohio look for? The top searched job categories for Data Engineers jobs in Ohio are:
What cities in Ohio are hiring for Data Engineers jobs? Cities in Ohio with the most Data Engineers job openings:
Data Engineers jobs near you
Infographic showing various Data Engineers job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $123,321 per year, or $59.3 per hour.

Data Engineers

Donato Technologies, Inc

Columbus, OH • On-site

$110K - $132K/yr

Contractor

Re-posted 23 days ago

Job description

Data Engineers
Columbus OH and Jersey City, NJ (With in the state)
7 Positions 
 
Experience: 8+ Years
 
AWS , Databricks, Pyspark, Splunk.
 
Must have skills: AWS , Databricks, Pyspark, Splunk.