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Data Engineer Jobs in Ohio (NOW HIRING)

Park Place Technologies

Data Engineer

Highland Heights, OH

$111K - $133K/yr

Data Engineer The Data Engineer is responsible for collecting, managing, and converting raw data into information that can be interpreted by Data Scientists and Business Analysts. Data accessibility ...

Park Place Technologies

Data Engineer

Highland Heights, OH · On-site

$111K - $133K/yr

Data Engineer The Data Engineer is responsible for collecting, managing, and converting raw data into information that can be interpreted by Data Scientists and Business Analysts. Data accessibility ...

CYNET SYSTEMS

Data Engineer

Mason, OH · On-site

$52 - $57/hr

Data Engineering Tech Lead (7-10+ Years Experience) Role Overview. * We are seeking an experienced Data Engineering Tech Lead with 7-10+ years of experience to design, build, and lead scalable data ...

Mazzella Companies

Data Engineer

Cleveland, OH · On-site

$115K - $135K/yr

Description We are hiring a Data Engineer to support and extend a growing NetSuite Analytics Warehouse (NSAW) initiative built on the Oracle analytics stack. This is a hands-on, individual ...

Qode

OH · On-site

$110K - $132K/yr

Data Engineer Location : Pittsburgh, PA / Cleveland, OH / Dallas, TX Experience : 4-8 Years Job Summary We are seeking a highly motivated Data Engineer to join our growing team. The ideal candidate ...

R3 Tek

Data Engineer

Columbus, OH

$110K - $132K/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 ...

Medpace

Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

The Data Engineer will work within the Information Technology team to support data engineering tasks and projects crucial for the company's success. Responsibilities : • Utilize skills in ...

ComResource

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/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 ...

LucyRx

Data Engineer

Bethesda, OH

$96K - $116K/yr

We are seeking a Data Engineer to join LucyRx's growing data team as we transition from an Oracle-centric environment to a modern cloud-based analytics platform. In the near term, this role will ...

Zenox Global, LLC

Data Engineer

Cleveland, OH · On-site

$110K - $133K/yr

Job Title: Data Engineer Location: Pittsburgh, PA, Cleveland, OH, or Dallas, TX - (5 days Onsite) - Local to any of these locations Job Type: Permanent Full Time Required qualifications to be ...

Hudson Manpower

Data Engineer III

Cincinnati, OH · On-site

$50 - $54/hr

Position Overview We are seeking an experienced Data Engineer III to design, develop, and maintain modern enterprise data platforms supporting business intelligence and analytics initiatives. This ...

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 ...

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 ...

Forhyre

OH · On-site

$110K - $132K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst ...

Smart Data

2245 Data Engineer III

Cincinnati, OH

$110K - $123K/yr

Data Engineer III Location: Cincinnati, OH Years of Experience: 5+ TOP SKILLS: Must Have * 4+ years of Snowflake * Business Intellgience - Data Engineering * Data Build Tool (DBT) for Development ...

New

FlightSafety International

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

Purpose of Position The Lead Data Engineer is a hands-on technical leader responsible for architecting, developing, and guiding the implementation of modern data solutions in a cloud-based ...

FlightSafety International

Lead Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Purpose of Position The Lead Data Engineer is a hands-on technical leader responsible for architecting, developing, and guiding the implementation of modern data solutions in a cloud-based ...

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Showing results 1-20

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 Jul 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.

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.
More about Data Engineer jobs
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Data Engineer jobs near you
Data Engineer

Data Engineer

Park Place Technologies

Highland Heights, OH

$111K - $133K/yr

Full-time

Posted 27 days ago

Park Place Technologies rating

7.6

Company rating: 7.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

92nd of 210 rated it services

Job description

Data Engineer

The Data Engineer is responsible for collecting, managing, and converting raw data into information that can be interpreted by Data Scientists and Business Analysts. Data accessibility is the ultimate goal; which enables our organization to utilize data for performance evaluation and optimization.

What you’ll be doing:

  • Implement pipelines to move raw data in Azure Synapse using spark, python, SQL and C# in line with well-established architectural standards related to Data Warehouse and Data Lakehouse modeling standards.
  • Develop machine learning and regression analysis skills in spark-python-pandas, openai and Azure ML.
  • Employ Azure Devops and Git in line with the Software Development Life Cycle best practices.
  • Interpret requirements provided by Business and Data Analysts.
  • Act as a liaison with Business Analysts and Testing teams to promote smooth development execution.
  • Triage and troubleshoot perceived data aberrations submitted by the user community.
  • Other duties as assigned.

What we’re looking for:

  • 2+ years of practical or collegiate experience (or equivalent) in Python related to data engineering (spark, pandas, etc).
  • 2+ years of practical or collegiate experience (or equivalent) in SQL related to data engineering (or equivalent collegiate experience / certifications).
  • Solid understanding of the Software Development Life Cycle.
  • Good data analytics background.
  • Motivated individual looking to expand their knowledge in all areas of Data Engineering, Analytics and AI.

Bonus Points: 

  • Microsoft Cloud Certification
  • Familiarity with machine Learning and AI

Education: 

  • Bachelor’s Degree or Relevant Certifications & equivalent years of experience 

Travel: 

  • <10%

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