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Data Engineering Jobs in Ohio (NOW HIRING)

United IT

Data Engineer IV

Cincinnati, OH · On-site

$109K - $132K/yr

Required Qualifications: * 1-5 years of professional experience in data engineering or a related field. * Strong proficiency in SQL and Python. * Excellent collaboration skills and an eagerness to ...

FlightSafety International

Lead Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Serve as the technical lead on data engineering and analytics initiatives, ensuring alignment with architectural standards and business goals * Provide technical mentorship and guidance to Senior ...

FlightSafety International

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

Serve as the technical lead on data engineering and analytics initiatives, ensuring alignment with architectural standards and business goals * Provide technical mentorship and guidance to Senior ...

FlightSafety International

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

Tasks and Responsibilities Serve as the technical lead on data engineering and analytics initiatives, ensuring alignment with architectural standards and business goals Provide technical mentorship ...

FlightSafety International

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

Serve as the technical lead on data engineering and analytics initiatives, ensuring alignment with architectural standards and business goals * Provide technical mentorship and guidance to Senior ...

DPDHL

Lead Data Engineer

Westerville, OH

$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 ...

DHL

Lead Data Engineer

Westerville, OH · 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 ...

InterSources

Data Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

... for data engineering. The ideal candidate will have extensive experience in designing and implementing data solutions using various technologies, including PySpark, Azure Data Factory, and ...

Software Technology Inc

Data Engineer

Kings Mills, OH · On-site

$107K - $129K/yr

This role requires a comprehensive understanding of data architecture, data engineering, and data analysis. The ideal candidate is a skilled data engineer with experience creating data products ...

Deloitte

Databricks Data Engineer

Columbus, OH

$110K - $132K/yr

Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL) * Support the modernization of enterprise data ...

Deloitte

Databricks Data Engineer

Cleveland, OH

$111K - $133K/yr

Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL) * Support the modernization of enterprise data ...

Deloitte

Databricks Data Engineer

Cincinnati, OH

$109K - $131K/yr

Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL) * Support the modernization of enterprise data ...

Vertiv

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110K - $132K/yr

Required : • Bachelor's Degree in Computer Science, Engineering, Mathematics, or related field. • At least 5 years of experience in data engineering, data pipeline development, and ETL processes ...

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All JobsData Engineering JobsData Engineering Jobs in Ohio

Data Engineering information

See Ohio salary details

$43.7K

$156.9K

$231.5K

How much do data engineering jobs pay per year?

As of Jun 25, 2026, the average yearly pay for data engineering in Ohio is $156,882.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,900.00 and $161,600.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

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, reliable, and ready for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What jobs make $1,000,000 a year?

In data engineering, earning $1,000,000 annually is rare and typically involves senior roles such as lead data engineers or those working in high-paying industries like finance or technology, often with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Most high earners in this field also supplement income through equity, bonuses, or consulting. Such compensation levels are uncommon and usually require a combination of expertise, strategic position, and company size.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Ohio? The most popular types of Data Engineering jobs in Ohio are:
What are popular job titles related to Data Engineering jobs in Ohio? For Data Engineering jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Ohio look for? The top searched job categories for Data Engineering jobs in Ohio are:
What cities in Ohio are hiring for Data Engineering jobs? Cities in Ohio with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Ohio as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $156,882 per year, or $75.4 per hour.

Data Engineer IV

United IT

Cincinnati, OH • On-site

$109K - $132K/yr

Other

Posted 19 days ago

Job description

Data Engineer IV

Seeking a Data Engineer IV to join its newly formed Machine Learning Data Enablement Team, part of the Customer Recommendation and Insights Squad within the Data Insights Tribe. This is an exciting opportunity to work on cutting-edge data pipelines that support enterprise-level machine learning models deployed in AWS SageMaker.

Key Responsibilities:

  • Build and maintain scalable, high-quality data pipelines to support ML model training and deployment.
  • Collaborate with data scientists and ML engineers to deliver curated, production-ready datasets.
  • Contribute to the foundation and best practices for machine learning data infrastructure across the bank.
  • Assist in designing and implementing robust data workflows using modern tools and platforms.

Required Qualifications:

  • 1–5 years of professional experience in data engineering or a related field.
  • Strong proficiency in SQL and Python.
  • Excellent collaboration skills and an eagerness to work closely with cross-functional teams.

Preferred Skills:

  • Experience working on ML-related projects or supporting data science teams.
  • Familiarity with cloud platforms, especially AWS SageMaker.
  • Knowledge of Snowflake, dbt, or other modern data transformation tools.
  • Exposure to ML tools like Databricks is a plus.

Additional Information:

  • This role requires onsite presence at least four days a week at the Cincinnati office.
  • Hands-on role with high visibility and direct impact on enterprise ML initiatives.
  • A great opportunity for early-career professionals eager to grow in the machine learning and data engineering space.

Apply