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Data Integration Jobs in Ohio (NOW HIRING)

GHR Healthcare

Senior Data Engineer

Columbus, OH · On-site

$99K - $134K/yr

This individual will help design, develop, and support enterprise data platforms and data integration solutions used for reporting, analytics, business intelligence, and advanced analytics ...

Pharmacy Data Management, Inc.

Senior Data Engineer

Poland, OH · On-site +1

$91K - $124K/yr

This position is responsible for designing, developing, optimizing, and supporting enterprise data integration, reporting, and analytics solutions. The Senior Data Engineer plays a key role in ...

New

Staffwing Inc

Pentaho Data Integrator

Columbus, OH

Qualifications Strong SQL and Database skills o Queries, Inserts, Updates, Indexes, Stored Procedures, Triggers, and performance tuning Experience with an ETL tool such as Pentaho Data Integration or ...

Staffwing Inc

Pentaho Data Integrator

Columbus, OH · On-site

... Data Integration or SQL Server Integration Services • Experience working with multiple relational databases oCapable of quickly translating database knowledge from one vendor to another oWorked ...

Stantec

Senior Data Architect

Columbus, OH · On-site

$65 - $87/hr

Responsibilities : • Develop and drive the overall data architecture strategy for PM2PA, including designing scalable data models, data integration workflows, and data governance frameworks that ...

A-TEK Inc.

Health IT Data Engineer

Continental, OH · Remote

$125K - $135K/yr

The Health IT Data Engineer will design, build, integrate, and optimize enterprise data pipelines and analytics environments supporting Health IT modernization initiatives. The successful candidate ...

Novocure

Data Architect

Cleveland, OH

$61.75 - $79.50/hr

Develop enterprise data models, integration patterns, and architecture standards that support operational and analytical workloads * Lead architecture decisions related to data governance, quality ...

BakerHostetler

Data Solutions Engineer

Columbus, OH · On-site

$110K - $132K/yr

This role works across the data lifecycle, including data analysis, data modeling, data architecture, data engineering, and data integration. You will work closely with cross-functional teams to ...

BakerHostetler

Data Solutions Engineer

Cleveland, OH · On-site

$110K - $133K/yr

This role works across the data lifecycle, including data analysis, data modeling, data architecture, data engineering, and data integration. You will work closely with cross-functional teams to ...

BakerHostetler

Data Solutions Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

This role works across the data lifecycle, including data analysis, data modeling, data architecture, data engineering, and data integration. You will work closely with cross-functional teams to ...

BakerHostetler

Data Solutions Engineer

Cleveland, OH · On-site

$110K - $133K/yr

This role works across the data lifecycle, including data analysis, data modeling, data architecture, data engineering, and data integration. You will work closely with cross-functional teams to ...

ComResource

Data Modeler

Columbus, OH

$53 - $68.50/hr

Ensure models support data integration, consistency, and reusability. * Embed data quality rules, lineage, and metadata management into designs. * Develop and support standard processes to harvest ...

VENESCO LLC

Data VIsualization Specialist

Dayton, OH · On-site

The position combines data integration, analytics, dashboard development, business intelligence, and knowledge management to improve situational awareness and support evidence-based decision-making ...

Stantec

Senior Data Architect

Columbus, OH · On-site

$62.75 - $84/hr

Senior Data Architect We are seeking a Senior Data Architect to join a project team that will be ... This will involve enhancing and integrating several existing applications [and possibly building ...

Venesco LLC

Data VIsualization Specialist

Dayton, OH · On-site

$110K - $125K/yr

The position combines data integration, analytics, dashboard development, business intelligence, and knowledge management to improve situational awareness and support evidence-based decision-making ...

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All JobsData Integration JobsData Integration Jobs in Ohio

Data Integration information

See Ohio salary details

$9

$49

$79

How much do data integration jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data integration in Ohio is $49.14, according to ZipRecruiter salary data. Most workers in this role earn between $41.35 and $55.29 per hour, depending on experience, location, and employer.

What is a data integration?

A Data Integration job involves combining data from different sources into a unified view for analysis, reporting, and operational use. Professionals in this role design, develop, and maintain data pipelines to ensure seamless data flow between systems. They often work with ETL (Extract, Transform, Load) processes, APIs, and cloud platforms to facilitate integration. Strong skills in SQL, data modeling, and tools like Informatica, Talend, or Apache Nifi are commonly required. Their goal is to ensure data accuracy, consistency, and availability for business and analytical use.

What are the typical daily responsibilities of someone working in data integration?

Data Integration professionals are often responsible for designing, developing, and maintaining ETL pipelines that transfer and transform data between different systems. Their day-to-day tasks may include analyzing data sources, troubleshooting data inconsistencies, optimizing integration workflows, and creating documentation for data processes. Collaboration is frequent, as they work closely with database administrators, data analysts, and business stakeholders to ensure data accuracy and availability. Staying updated with evolving tools and best practices also forms a key part of their ongoing responsibilities.

What are the key skills and qualifications needed to thrive in data integration, and why are they important?

To thrive as a Data Integration professional, you need strong knowledge of data management principles, proficiency in SQL, ETL processes, and experience with data warehousing concepts, often supported by a bachelor's degree in computer science or a related field. Familiarity with integration platforms such as Informatica, Talend, or Microsoft SSIS, as well as certifications like Certified Data Management Professional (CDMP), are commonly beneficial. Excellent problem-solving, communication, and collaboration skills help manage complex projects and liaise with stakeholders across technical and business teams. These abilities are crucial for ensuring seamless, accurate data flow that supports informed business decisions and operational efficiency.

How to become a data integration specialist?

To become a data integration specialist, you typically need a bachelor's degree in computer science, information technology, or a related field. Gaining experience with data management tools, ETL (Extract, Transform, Load) processes, and programming languages like SQL, Python, or Java is essential. Certifications such as Certified Data Management Professional (CDMP) or vendor-specific credentials can also enhance job prospects.

What does data integration do?

Data integration involves combining data from different sources into a unified view, enabling organizations to analyze and use the data more effectively. Data integration specialists use tools like ETL (Extract, Transform, Load) processes and data warehouses to ensure data consistency, accuracy, and accessibility across systems.

What are the most commonly searched types of Data Integration jobs in Ohio?

The most popular types of Data Integration jobs in Ohio are:

What are popular job titles related to Data Integration jobs in Ohio?

For Data Integration jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Data Integration jobs in Ohio look for?

The top searched job categories for Data Integration jobs in Ohio are:

Data Integration jobs near you
Infographic showing various Data Integration job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $102,201 per year, or $49.1 per hour.

Senior Data Engineer

GHR Healthcare

Columbus, OH • On-site

$99K - $134K/yr

Other

Posted 6 days ago

Job description

Location: Columbus, OH – Hybrid/Onsite (Will only consider candidates CURRENTLY residing in Columbus, Ohio region)
Employment Type: Contract-to-Hire

Position Overview

We are seeking an experienced Senior Data Engineer to join a large, enterprise healthcare organization in Columbus, Ohio. This individual will help design, develop, and support enterprise data platforms and data integration solutions used for reporting, analytics, business intelligence, and advanced analytics initiatives.

The ideal candidate will have a strong background in SQL, data warehousing, dimensional data modeling, ETL/data pipelines, and enterprise data environments. This is a senior-level, hands-on position that will also provide technical leadership on complex data initiatives.

Key Responsibilities
  • Design, develop, enhance, and support enterprise data warehouse and data integration solutions.
  • Develop and maintain scalable ETL/ELT processes and data pipelines to ingest, transform, and deliver data from multiple source systems.
  • Design and maintain logical and physical data models, including dimensional models supporting reporting and analytics.
  • Write and optimize complex SQL queries and troubleshoot data, performance, and integration issues.
  • Develop batch and near-real-time data integration solutions supporting enterprise reporting and analytics.
  • Work with large, complex, and potentially disconnected datasets from multiple enterprise systems.
  • Partner with analysts, data scientists, application teams, architects, and business stakeholders to understand requirements and translate them into technical solutions.
  • Perform root-cause analysis of data and process issues and recommend appropriate solutions.
  • Help improve data quality, scalability, reliability, and performance across enterprise data platforms.
  • Participate in the design and implementation of data solutions across on-premise and cloud-based environments.
  • Contribute to data engineering standards, architecture, development methodologies, and technical best practices.
  • Provide technical guidance and mentoring to other members of the data and analytics organization.
Required Qualifications
  • 8+ years of experience in Information Technology with significant experience in data engineering, data warehousing, data integration, database development, or related disciplines.
  • Advanced/expert-level SQL skills, including complex query development and optimization.
  • Strong knowledge of relational database design and data warehousing concepts.
  • Strong experience with dimensional data modeling and schema design.
  • Hands-on experience developing and supporting ETL/ELT processes and enterprise data pipelines.
  • Experience with ETL, data integration, workflow, or pipeline orchestration technologies.
  • Experience working with large and complex enterprise datasets.
  • Experience troubleshooting data quality, data integration, and performance issues.
  • Understanding of modern data engineering concepts, architecture, and development best practices.
  • Experience working in on-premise and/or cloud data environments.
  • Strong analytical and problem-solving abilities.
  • Strong communication skills with the ability to work directly with both technical and business stakeholders.
  • Ability to work independently on complex, high-impact technical initiatives.
Preferred Qualifications
  • Experience with ETL technologies such as SSIS, Informatica, DataStage, or comparable enterprise data integration platforms.
  • Experience with workflow/orchestration technologies such as Airflow or similar tools.
  • Experience with cloud platforms such as AWS or Microsoft Azure.
  • Experience with big-data or distributed-data technologies such as Spark, Kafka, Hadoop, or NoSQL platforms.
  • Programming experience with Python, Java, Scala, R, or similar languages.
  • Experience with BI and visualization platforms such as Power BI, Tableau, or Qlik.
  • Experience with metadata management, data governance, and/or data modeling tools.
  • Previous experience working with healthcare or health-system data is a plus.
  • Bachelor''''s or Master''''s degree in Computer Science, Information Systems, Informatics, or a related discipline.
Additional Information

This position is contract-to-hire and requires the ability to work in a hybrid/onsite capacity in Columbus, Ohio.

Candidates must be either U.S. Citizens or U.S. Permanent Residents (s). The organization is unable to provide current or future employment sponsorship for this position.

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