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Data Engineer Jobs in Ohio (NOW HIRING)

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 ...

Software Technology Inc

Data Engineer

Kings Mills, OH

$107K - $129K/yr

Data Engineer The Data Engineer works within the ETL and Operations team to build high quality data pipelines driving analytic solutions from diverse, disparate sources of data. This role requires a ...

ComResource

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

ComResource is looking for a Data Engineer. Responsibilities: * Build and maintain data pipelines with guidance using dbt, IBM DataStage, and M365 Power Platform. * Write SQL queries and perform ...

InterSources

Data Engineer

Cincinnati, OH

$109K - $132K/yr

Advance Data Engineer We are seeking a highly skilled Advanced Data Engineer with a strong background in Databricks and a passion for data engineering. The ideal candidate will have extensive ...

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 ...

United IT

Data Engineer

Cincinnati, OH

$109K - $132K/yr

Data Engineer We are seeking a skilled Data Engineer with a strong background in mortgage banking to join our IT team. The candidate will be instrumental in constructing, testing, and maintaining our ...

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 ...

RIT Solutions, Inc.

Data Engineer

Cincinnati, OH

$109K - $132K/yr

Data Engineer Location: Cincinnati, OH ( requires on-site work 5 days per week in downtown Cincinnati ) We are seeking an experienced Data Engineer (Contractor) to support a major bank-to-bank ...

Cynet Systems

Data Engineer

Mason, OH

$55 - $60/hr

Data Engineer 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 ...

ComResource

Data Engineer

Cincinnati, OH

$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 ...

My3Tech Inc

Data Engineer

Cincinnati, OH

$109K - $132K/yr

We are seeking a skilled Data Engineer to join our Data Science team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to ...

Smart Data

2206 Data Engineer I

Cincinnati, OH

$64K - $71K/yr

Data Engineer I Location: Cincinnati, OH (onsite, downtown) Years of Experience: 1-3 TOP SKILLS: * 1+ years Reporting or Data Engineering experience * 1+ years SQL experience What You'll Do * Build ...

ComResource

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/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.

E-Solutions

Data Engineer

Cincinnati, OH

$109K - $132K/yr

Data Engineer Cincinnati, Ohio Onsite (5 days) Full time Data Engineer III Intelligence Developer Open Position(s): Proficiency in Power BI: Including data modeling, DAX, Power Query, and report ...

Senneca Holdings

Data Engineer

Springdale, OH

$110K - $132K/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 ...

Senneca Holdings

Data Engineer

Springdale, OH · On-site

$110K - $132K/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

$111K - $134K/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.

Perform

$102K - $122K/yr

We are seeking a Data Engineer to join our product development team. In this role, you will design, build, and support data migrations, pipelines, and APIs that power web and mobile software ...

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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 Jun 21, 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 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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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 pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
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 June 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $123,321 per year, or $59.3 per hour.
Data Engineer

Data Engineer

CYNET SYSTEMS

Mason, OH • On-site

$52 - $57/hr

Contractor

Posted 16 days ago

Be an early applicant

Job description

Job Overview:
 
Pay Range: $52hr - $57hr
  • 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 engineering solutions across enterprise platforms.
  • The ideal candidate will be responsible for architecting data pipelines, leading engineering teams, collaborating with business and cross-functional IT teams, and delivering high-quality data platforms, analytics, and reporting solutions.
Responsibilities:
  • Data Engineering & Architecture Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
  • Build robust data ingestion frameworks for structured and unstructured data sources.
  • Architect and implement data lakes, data warehouses, and data marts.
  • Ensure high performance, scalability, and reliability of data systems Pipeline & Data Platform Development Develop and optimize batch and real-time data processing pipelines.
  • Work with modern tools such as Airflow, AWS Glue, Azure Data Factory, PySpark, or equivalent Implement data validation, monitoring, and quality frameworks.
  • Enable integration across upstream and downstream systems Database & Data Modeling Design and maintain SQL and NoSQL databases (e.g., MongoDB, relational systems).
  • Develop complex SQL queries, stored procedures, and performance tuning strategies Implement data models (dimensional, star/snowflake schemas).
  • Ensure data consistency, integrity, and governance Cloud & Data Ecosystem Design and manage cloud-based data platforms (AWS / Azure / GCP) Implement CI/CD pipelines for data engineering workflows.
  • Ensure availability, scalability, and reliability of data environments Leadership & Technical Mentoring Lead and mentor a team of Data Engineers and Developers Guide best practices, coding standards, and performance optimization Conduct code reviews, design reviews, and technical decision-making.
  • Foster a culture of continuous improvement and innovation.
  • Agile Delivery & Stakeholder Collaboration Work within Scrum/Agile teams, participating in sprint planning, reviews, and retrospectives.
  • Collaborate with Product Owners, Business Analysts, and Architects Work closely with cross-functional IT teams to deliver end-to-end data solutions.
  • Translate business needs into technical data solutions and architecture designs Data Quality, Governance & Compliance Implement frameworks for data quality, validation, and monitoring.
  • Ensure compliance with enterprise data governance and security standards Support regulatory and audit requirements where applicable.
Required Skills and Experience:
  • 7-10+ years of experience in Data Engineering / Data Platforms Strong expertise in: SQL and NoSQL databases (e.g., MongoDB) ETL/ELT pipelines and data integration.
  • Data warehousing and data modeling concepts.
  • Experience with big data and distributed systems (Spark, Hadoop, etc.) Hands-on experience with cloud platforms (AWS/Azure/GCP).
  • Experience with workflow orchestration tools (Airflow, ADF, etc.) Strong knowledge of CI/CD and DevOps for data pipelines.
  • Proven experience in leading and mentoring engineering teams.
Preferred Skills:
  • Experience in Healthcare / Insurance / Data Analytics platforms.
  • Exposure to real-time streaming frameworks (Kafka, Kinesis, etc.).
  • Experience in data governance and data quality frameworks.
  • Familiarity with API integrations and microservices architecture.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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