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Data Engineer Jobs in Ohio (NOW HIRING)

Ventechsoft Inc

Data Engineer

Westlake, OH · On-site

$106K - $127.30K/yr

Associate Data Engineer Westlake, OH As this role requires on-site work, out of our Creative Studios in Westlake, Ohio, we will focus on candidates that currently reside in Northeast Ohio. The ...

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RH Aero Systems

Data Engineer

Mason, OH · On-site

$107.70K - $129.30K/yr

The Data Engineer is responsible for building, maintaining, and scaling RH Aero's enterprise Azure data platform and Microsoft Fabric environment in support of business integration, data ...

RHINESTAHL CORPORATION

Data Engineer

Mason, OH

$107.70K - $129.30K/yr

The Data Engineer is responsible for building, maintaining, and scaling RH Aero's enterprise Azure data platform and Microsoft Fabric environment in support of business integration, data ...

McKesson Corporation

Data Engineer

Columbus, OH · On-site

$110.60K - $132.80K/yr

Of note, our Data Engineering Team is a highly technical group of results driven Engineers, Analysts and Architects focused on providing our internal and external clients with high quality ...

Purple Drive Technologies

Data Engineer

Columbus, OH · On-site

$110.60K - $132.80K/yr

Data Engineer Location: ONSITE- Columbus Total Exp: 6-8 Years Skills: Python, Py Spark, Snowflake We are seeking a highly skilled and motivated Data Engineer to join our innovative team. As a Data ...

Bread Financial

Data Engineer

Columbus, OH

$110.60K - $132.80K/yr

Job Summary The Data Engineer will be responsible for evolving data infrastructure and data analytics capabilities. This role will build high quality, architecturally-sound systems that will ...

New

R3 Tek

Data Engineer

Columbus, OH

$110.60K - $132.80K/yr

Greetings, Job Title- Data Engineer ( Netezza & OBIEE ) Location- Columbus OH Duration -6 months with visibility for extension Need a Sr.Data Engineer of whom has strong experience in OBIEE/ Netezza ...

MphasiS Corporation USA

$102.10K - $122.70K/yr

Data Engineer Location: Toronto, Canada (5 Days Onsite) Duration: FTE We are looking for a candidate from Data Scientist and Developer background, should have experience in Machine Learning and ...

ComResource

Data Engineer

Cincinnati, OH · On-site

$109.90K - $131.90K/yr

ComResource is looking for a Data Engineer. We need someone to assist in calculating FDIC insurance at the customer and bank levels using traditional and modern data engineering tools. This role ...

ComResource

Data Engineer

Cincinnati, OH

$109.90K - $131.90K/yr

ComResource is looking for a Data Engineer. Responsibilities: * Design, development, and support of data solutions, APIs, tools, and processes to enable rapid delivery of business capabilities.

Exclusive Networks

Data Engineer

Mansfield, OH · Hybrid

$108.80K - $130.70K/yr

Data Engineer UK Full time EXCLUSIVE NETWORKS | Introduction Exclusive Networks (EXN) is a global cybersecurity specialist that provides partners and end-customers with a wide range of services and ...

Senneca Holdings

Data Engineer

Springdale, OH · On-site

$110.10K - $132.30K/yr

... a Data Engineer at Senneca, you will join a high-impact, stakeholder-facing team building a modern, cloud-native data platform. Reporting to the Director of Data Architecture, you will work across ...

Medpace

Data Engineer

Cincinnati, OH · On-site

$111.70K - $134.20K/yr

The Data Engineer will be responsible for developing and supporting data systems, utilizing skills in data warehousing, business intelligence, and databases to enhance the company's success.

EASE Logistics

Data Engineer

Dublin, OH

$108.10K - $129.80K/yr

We are seeking a skilled Data Engineer to join our Analytics & Automation team and serve as the primary architect and builder of our data pipelines. This role will be responsible for designing ...

BWX Technologies

Data Engineer

Barberton, OH

$62K - $97K/yr

BWXT is currently seeking a Data Engineer for its Advanced Technologies location in Barberton, OH! BWXT is People Strong, Innovation Driven - be part of BWXT's innovation hub. BWXT's Advanced ...

CoverMyMeds

Data Engineer

Columbus, OH · On-site +1

$110.60K - $132.80K/yr

Of note, our Data Engineering Team is a highly technicalgroup of results driven Engineers, Analysts and Architectsfocused on providing our internal and external clients with high quality, repeatable ...

EASE Logistics

Data Engineer

Dublin, OH · On-site

$108.10K - $129.80K/yr

We are seeking a skilled Data Engineer to join our Analytics & Automation team and serve as the primary architect and builder of our data pipelines. This role will be responsible for designing ...

McKesson

Data Engineer

Columbus, OH · On-site +1

$110.60K - $132.80K/yr

Of note, our Data Engineering Team is a highly technicalgroup of results driven Engineers, Analysts and Architectsfocused on providing our internal and external clients with high quality, repeatable ...

BWX Technologies

Data Engineer

Barberton, OH

$62K - $97K/yr

BWXT is currently seeking a Data Engineer for its Advanced Technologies location in Barberton, OH! BWXT is People Strong, Innovation Driven - be part of BWXT's innovation hub. BWXT's Advanced ...

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People also search for

All JobsData Engineer JobsData Engineer Jobs in Ohio

Data Engineer information

See Ohio salary details

$42.3K

$123.3K

$168.7K

How much do data engineer jobs pay per year?

As of May 29, 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 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 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.

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 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.

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.

More about Data Engineer jobs
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 are popular job titles related to Data Engineer jobs in Ohio? For Data Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Ohio look for? The top searched job categories for 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:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Ohio as of May 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution, with an average salary of $123,321 per year, or $59.3 per hour.

Data Engineer

Ventechsoft Inc

Westlake, OH • On-site

$106K - $127.30K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Associate Data Engineer

Westlake, OH

Job Description

As this role requires on-site work, out of our Creative Studios in Westlake, Ohio, we will focus on candidates that currently reside in Northeast Ohio.
The Associate Data Engineer supports the design, development, and maintenance of data pipelines and workflows that enable analytics and reporting. This role works closely with internal stakeholders to troubleshoot data issues, enhance datasets, and contribute to scalable data solutions. The Associate Data Engineer also assists in improving data processes, documenting best practices, and exploring new technologies to strengthen the data platform.
ESSENTIAL DUTIES & RESPONSIBILITIES:
• Partner with internal stakeholders to troubleshoot data issues, fulfill data requests, and improve existing datasets
• Support the development and maintenance of ELT pipelines, including adding and integrating new data sources
• Ingest and transform data from external vendor APIs and internal systems
• Identify opportunities to improve data workflows for performance, reliability, and cost efficiency
• Contribute to documentation of data pipelines, processes, and best practices to support knowledge sharing
• Research and evaluate new tools, technologies, and approaches to enhance team capabilities

Experience Required:

Required Length & Type of Experience:
• 6+ years of hands-on experience in data engineering, analytics, or a related technical field
Knowledge, Skills & Abilities:
• Foundational proficiency in programming languages such as Python, R, or similar
• Basic SQL skills for data querying and transformation
• Familiarity with Linux/Unix environments and command line tools
• Basic understanding of version control systems (e.g., Git)
• Foundational knowledge of software engineering principles (OOP, SDLC, Agile methodologies)
• Internship or academic project experience in data engineering, analytics, or a related field
• Exposure to modern data platforms and cloud ecosystems (e.g., Databricks, Snowflake, Power BI)
• Relevant certifications in data engineering, cloud platforms, or analytics
• Familiarity with AI-assisted development tools (e.g., GitHub Copilot)

Education Required:

Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field

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