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Data Engineer Jobs in Ohio (NOW HIRING)

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with ...

Flexjet

AI Data Engineer

Cleveland, OH

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with ...

The Hartford

GCP Data Engineer

Columbus, OH · Hybrid

$110K - $132K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

RIT Solutions, Inc.

Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

RIT Solutions, Inc. is seeking an experienced Data Engineer to support a major bank‐to‐bank migration. This role involves building data pipelines, supporting conversion cycles, and ensuring ...

Pharmacy Data Management, Inc.

Senior Data Engineer

Poland, OH · On-site +1

$91K - $124K/yr

The Senior Data Engineer plays a key role in modernizing the organization's data ecosystem by transitioning legacy SQL Server and SSRS solutions to a scalable, cloud-based architecture centered on ...

Smart Data

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

Sr. Data Engineer for Cincinnati OH Will work on the projects from inception to end using Azure cloud technologies like PySpark, Spark SQL, Azure Data Lake Storage, Azure Data Factory, Azure SQL ...

AndHealth

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Data Engineer Full Time Columbus, OH About Andhealth AndHealth is a healthcare technology company created to radically improve access and outcomes for the most challenging chronic health conditions.

CYNET SYSTEMS

Data Engineer

Mason, OH · On-site

$55 - $60/hr

Pay Range: $55/hr - $60/hr Requirement/Must Have: * 7+ years of experience in Data Engineering or related roles. * Strong hands-on experience with Snowflake (SnowSQL, Snowpipe, Streams, Tasks, Data ...

campus4tech

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 ...

Booz Allen Hamilton

Software Data Engineer

Beavercreek, OH · On-site

$106K - $127K/yr

Software Data Engineer The Opportunity: Are you looking for an opportunity not just to analyze data, but to architect real-time analytics platforms that deliver critical insights in the defense ...

Hudson Manpower

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 ...

Medpace, Inc.

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 ...

Apex Systems

Data Engineer

Columbus, OH · On-site

$40 - $55/hr

Job#: 3043889 Data Engineer Location: Columbus, OH (Onsite) Pay: $40-$55/hr Role Overview A motivated AWS Data Ingestion Specialist is being sought to support a growing workflow platform that manages ...

National Church Residences

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 ...

Vaco by Highspring

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 ...

Sarian, Inc.

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.

National Church Residences

Azure Data Engineer

Dublin, OH

$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 ...

Eliassen Group

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 ...

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Showing results 41-60

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 Aug 23, 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.
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 August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,321 per year, or $59.3 per hour.

AI Data Engineer

Flexjet

Cleveland, OH • On-site

$111K - $133K/yr

Full-time

Posted 17 days ago

Flexjet rating

8.2

Company rating: 8.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

20th of 67 rated aviation services

Job description

POSITION SUMMARY
Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with data scientists, ML engineers, and software teams to ensure high-quality, reliable, and scalable data pipelines for AI applications.
DUTIES & RESPONSIBILITIES
� Design, build, and maintain data pipelines for AI and machine learning workflows
� Collect, clean, and preprocess structured and unstructured data
� Develop and manage datasets for model training, validation, and inference
� Collaborate with ML engineers and data scientists to support model development
� Ensure data quality, integrity, and availability across systems
� Optimize data storage and retrieval for performance and scalability
� Implement data governance, security, and compliance best practices
� Monitor and troubleshoot data pipeline issues
REQUIRED SKILLS & QUALIFICATIONS
� Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience)
� Strong programming skills in Python and/or SQL
� Understanding of data engineering concepts (ETL/ELT, data modeling, data warehousing)
� Familiarity with machine learning workflows and data requirements
� Experience with data processing tools (e.g., Pandas, Spark)
� Knowledge of relational and non-relational databases
� Basic understanding of cloud platforms (AWS, Azure, or Google Cloud)
PREFERRED QUALIFICATIONS
� Experience supporting machine learning or AI projects
� Familiarity with big data technologies (e.g., Apache Spark, Kafka, Hadoop)
� Experience with data pipeline orchestration tools (e.g., Airflow, Prefect)
� Knowledge of MLOps practices and tools
� Experience working with unstructured data (text, images, etc.)
� Understanding of data governance and privacy standards
� Strong analytical and problem-solving skills
� Attention to detail and data quality
� Ability to work with cross-functional teams
� Good communication skills
� Ability to manage multiple data workflows

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