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Data Engineer Jobs in Ohio (NOW HIRING)

Palantir Data Engineer

Perrysburg, OH ยท On-site +1

$107K - $129K/yr

We are seeking a skilled Palantir Foundry Engineer to design, build, and optimize data-driven solutions on the Palantir platform. The ideal candidate will have strong programming skills, hands-on ...

Data Engineer

Cincinnati, OH ยท 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 ยท On-site +1

$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 - Contractor

Miamisburg, OH ยท 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 ยท 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

Cincinnati, OH ยท 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 - Contractor

Miamisburg, OH ยท 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 ยท 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 ยท 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 ยท 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 ...

Lead Data Engineer

Westerville, OH ยท On-site

$85K - $150K/yr

Data Engineering * Use of azure data factory especially with metadata driven pipelines. * Strong understanding of ETL patterns especially within a data warehouse environment. Items like merge and ...

Lead Data Engineer

Westerville, OH ยท On-site

$85K - $150K/yr

Data Engineering * Use of azure data factory especially with metadata driven pipelines. * Strong understanding of ETL patterns especially within a data warehouse environment. Items like merge and ...

Data Engineer III

Cincinnati, OH ยท On-site

$109K - $131K/yr

Data Engineer III (Onsite) Primary Location: Cincinnati, Ohio V-Soft Consulting is currently hiring for a Data Engineer III for our premier client in Cincinnati, Ohio . Education and Experience

Data Engineer

Cincinnati, OH

$109K - $131K/yr

The Data Engineer consultant role is an incredibly exciting position in the fastest growing segment of AMEND. You will be working to solve real-world problems by designing cutting edge analytic ...

Data Engineer III

Cincinnati, OH ยท On-site

$109K - $132K/yr

Data Engineer III (Onsite) Primary Location: Cincinnati, Ohio V-Soft Consulting is currently hiring for a Data Engineer III for our premier client in Cincinnati, Ohio. Education and Experience ...

Data Engineer

Cincinnati, OH ยท On-site

$109K - $131K/yr

The Data Engineer consultant role is an incredibly exciting position in the fastest growing segment of AMEND. You will be working to solve real-world problems by designing cutting edge analytic ...

Data Engineer III

Cincinnati, OH ยท On-site

$67 - $73/hr

Data Engineer III Location: (City, State) Duration: Contract - 14 months Pay Range: $67/hr $73/hr (W2) Job ID: 406749 About BCforward BCforward is a leading global IT consulting and workforce ...

Data Engineer (Remote)

Cleveland, OH ยท Remote

$111K - $133K/yr

We're looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers internal analytics, reporting, and operational insights. This is a ...

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 Engineer information

See Ohio salary details

$42.3K

$123.3K

$168.7K

How much do data engineer jobs pay per year?

As of Jul 15, 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

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.

What are Data Engineers?

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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
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:
Palantir Data Engineer

Palantir Data Engineer

Synergy

Perrysburg, OH โ€ข On-site, Remote

$107K - $129K/yr

Other

Posted 18 days ago


Job description

Job Description Palantir Foundry Engineer #0910 Perrysburg, OH 43551 / Hybrid-Remote Long-term ***PLEASE DO NOT APPLY*** if you do not have any PALANTIR FOUNDRY experience. AND **NO Corp-Corp** Description: We are seeking a skilled Palantir Foundry Engineer to design, build, and optimize data-driven solutions on the Palantir platform. The ideal candidate will have strong programming skills, hands-on experience with Foundry, and a solid foundation in data engineering and pipeline development.

Responsibilities: Develop and maintain data transformations, ML workflows, and automation scripts using Python and SQL. Work with Palantir Foundry modules such as Ontology, Code Workbooks, Code Repositories, and Workshop. Design and implement ETL/ELT processes, ensuring data quality, normalization, and integrity.

Build and orchestrate data pipelines leveraging tools like PySpark, Foundry Transformation Language (FTL), and low-code interfaces. Develop dashboards and operational UIs to enable business users and analysts. Collaborate with teams to model Ontologies (semantic layers representing real-world entities and relationships).

Apply best practices in cloud platforms (AWS/GCP/Azure), containerization (Kubernetes), and CI/CD pipelines. Use Git for source control and contribute to collaborative development. Required Skills / Qualifications: Strong programming knowledge in Python and SQL (Java or C++ is a plus).

Experience with Palantir Foundry platform and its core modules. Hands-on expertise in data engineering, pipeline development, and modeling. Familiarity with cloud infrastructure, DevOps practices, and version control.

Excellent problem-solving, collaboration, and communication skills. How to Apply: Synergy Computer Solutions, Inc., (Synergycom) is a certified Minority Business Enterprise providing expertise in IT consulting, outsourced solutions, and strategic staffing. Since 1995, Synergycom has been providing quality professional services to address diverse business challenges facing organizations throughout the United States and across the globe

JOIN OUR TEAM: http://synergycom.com/careers.html.