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Data Engineer Jobs in Ohio (NOW HIRING)

Azure Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

Data Engineer Contract: 12 Months (potential for conversion/extension) Job Location: Cincinnati, OH (3 days' on-site required) Note: Relocation will work for this role. Candidate have to relocate at ...

Azure Data Engineer

Dublin, OH · On-site

$108K - $129K/yr

Azure Data Engineer (Microsoft Fabric) - Direct Hire, Hybrid (Columbus, OH) Position Type: Direct Hire (W-2) Location: Hybrid - 3 days/week in-person in Columbus, Ohio office Reports To: Director ...

$91K - $109K/yr

Responsibilities / Tasks The Industrial Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines, databases, and analytics platforms that support cloud-based ...

Data Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS); * Design, develop, enhance and support ...

DATA ENGINEER IV

Cincinnati, OH · On-site

$68 - $70/hr

Data Engineer IV Location: Cincinnati, OH - onsite Payrate $70/hr on W2. USC and GC Holder candidates only. TOP SKILLS: Must Have Python SQL Nice To Have AWS Sagemaker DBT Snowflake What You'll Do ...

Azure Data Engineer

Dublin, OH · On-site

$110K - $132K/yr

As an individual contributor and Data Engineering owner, you play a key role in shaping a scalable and welldesigned data environment, while applying strong engineering judgment and pragmatic ...

Azure Data Engineer

Dublin, OH · On-site

$110K - $132K/yr

As an individual contributor and Data Engineering owner, you play a key role in shaping a scalable and well-designed data environment, while applying strong engineering judgment and pragmatic ...

Data Engineer

New Bremen, OH · On-site

$118K - $142K/yr

Work with data analysts and BI Developers to guide best practices on data modeling and overall use of Power BI * Perform code review of team members to learn new techniques while providing code ...

Data Engineer

New Bremen, OH · Hybrid

$118K - $142K/yr

Work with data analysts and BI Developers to guide best practices on data modeling and overall use of Power BI * Perform code review of team members to learn new techniques while providing code ...

Data Engineer

New Bremen, OH · On-site

$118K - $142K/yr

Work with data analysts and BI Developers to guide best practices on data modeling and overall use of Power BI * Perform code review of team members to learn new techniques while providing code ...

Azure Data Engineer

Dublin, OH · On-site

$108K - $129K/yr

Azure Data Engineer (Microsoft Fabric) - Direct Hire, Hybrid (Columbus, OH) Position Type: Direct Hire (W-2) Location: Hybrid - 3 days/week in-person in Columbus, Ohio office Reports To: Director ...

New

GCP Data Engineer

Brooklyn, OH · On-site

$107K - $129K/yr

GCP Data Engineer Location: Brooklyn, OH Fulltime position Onsite position JD: * GCP Data Engineer * Experience: * Realtime and batch data integration development experience using GCP services.

Data Engineer

New Bremen, OH · Hybrid

$118K - $142K/yr

Work with data analysts and BI Developers to guide best practices on data modeling and overall use of Power BI * Perform code review of team members to learn new techniques while providing code ...

Data Engineer

Cincinnati, OH · On-site

$32 - $38/hr

Integrate new data management and software engineering technologies into existing data structures. * Develop processes for data mining, data modeling, and data production. * Create custom software ...

Data Engineer

Cincinnati, OH · On-site +1

$109K - $132K/yr

Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS); * Design, develop, enhance and support ...

Data Engineer - Contractor

Miamisburg, OH · On-site

$102K - $123K/yr

Data Engineer Contractor 5 Days Onsite - Pittsburgh, PA / Farmers Branch, TX / Miamisburg, OH / Houston, TX Key Responsibilities * Gather business and technical requirements from multiple lines of ...

Data Engineer - Contractor

Miamisburg, OH · On-site

$102K - $123K/yr

Data Engineer Contractor 5 Days Onsite - Pittsburgh, PA / Farmers Branch, TX / Miamisburg, OH / Houston, TX Key Responsibilities * Gather business and technical requirements from multiple lines of ...

Showing results 41-60

Data Engineer information

See Ohio salary details

$42.3K

$123.3K

$168.7K

How much do data engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data engineer 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.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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 a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store 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 are the most commonly searched types of Data Engineer jobs in Ohio?

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

What cities in Ohio are hiring for Data Engineer jobs?

Cities in Ohio with the most Data Engineer job openings:

What are popular job titles related to Data Engineer jobs in OH?

For Data Engineer jobs in OH, the most frequently searched job titles are:

Infographic showing various Data Engineer job openings in Ohio as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $123,321 per year, or $59.3 per hour.

Enterprise Data Engineer

Dayton, OH • On-site

$135K - $170K/yr

Full-time

Posted 9 days ago


Job description

Riverside OverviewRiverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems.    All Riverside Research opportunities require U.S. Citizenship.  Position Overview

Serves as an Enterprise Data Engineer leading the National Air and Space Intelligence Center  (NASIC) toward a structured and open data exchange achieving the ability to use, share and perform data analysis across multiple organizations to help answer mission and business intelligence questions. Manages and prioritizes the project stream, working with internal customers to determine project definition and business requirements.

Responsibilities
  • Serve as the Data Engineering expert. Utilize technical expertise to plan, design, document, and implement requirements necessary for enterprise data engineering.
  • Work as an analytical advisor to A9A leadership to include the Principal Technical Analyst, Deputy Chief Data Officer, and Chief Data Officer on a broad range of issues related to Center needs for data engineering and data analytics.
  • Share your expertise. Guide other civilian, military, and contractor counterparts in developing and providing Center level data standardization and structure.
  • Develop new approaches, methods, tools, automation, and procedures to improve Center data preparation, organization, and architecture.
  • Manage projects from inception to implementation. Collaborate with communities of experts and lead team members to drive enterprise achievement. 
  • Other duties as assigned
Qualifications
  • Current Top-Secret clearance with SCI adjudication
  • 8+ years of experience in technical project management or data engineering experience
  • Bachelor's degree in information science, computer science, engineering, mathematics, or a related technical field
  • Demonstrated Experience with Tableau Visualizations/Data Prep, data capabilities of SharePoint
  • Demonstrated experience with Business Analytics and the principals of analyzing financial, production, and/or Intel data
  • Familiar with python, SQL, data pipelines and ETL techniques and ontologies
  • Effective/efficient written/verbal communication skills; proficient in MS Word, PowerPoint, Power BI
  • Self-motivated, detail oriented, responsible team player able to work independently with minimal daily direction
  • Ability to work and interact with technically and organizationally diverse personnel
  • Open to occasional travel

Desired Qualifications:  

  • Familiarity with National Air and Space Intelligence Center (NASIC) intelligence analysis and production processes 
  • Master's degree in information science, computer science, engineering, mathematics, or a related technical field
  • Professional certifications in Data Analytics
Global Comp$135,000- $170,000 This represents the typical compensation range for this position based on experience, location and other factors.Closing Statement  Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring.  Riverside offers comprehensive compensation and benefit packages to our employees. Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.Employment Type: OTHER