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Data Integration Manager Jobs in Ohio (NOW HIRING)

This is a critical support role that reports directly to the Program Manager and acts as a key ... Data Integration and Modeling: Document data paths, perform data modeling, and assist with data ...

New

The Data Integration Support Analyst plays a critical role in monitoring and supporting application ... Skilled in managing multiple tasks, deadlines, and small projects * Excellent communication ...

The Data Integration Specialist provides technical support for data integration, data management, and reporting activities that support organizational operations. This role will support dashboard ...

Manager- Integration

Perrysburg, OH ยท On-site

$131K - $187K/yr

Possess excellent data handling, organization and communication skills. * Proven ability to ... Demonstrated ability to manage and motivate others to accomplish objectives and gain desired ...

Possess excellent data handling, organization and communication skills. * Proven ability to ... Demonstrated ability to manage and motivate others to accomplish objectives and gain desired ...

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Data Integration Manager information

See Ohio salary details

$9

$49

$79

How much do data integration manager jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for data integration manager 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.

Is data integration a good career?

Data Integration Managers oversee the process of combining data from different sources to ensure consistency and accessibility, often using tools like ETL software and SQL. The role is in demand across industries such as finance, healthcare, and technology, offering opportunities for advancement and specialization. Strong technical skills, problem-solving ability, and knowledge of data governance are essential for success in this field.

What does an integration manager do?

An integration manager oversees the process of combining different software systems and data sources to ensure they work together effectively. They coordinate technical teams, develop integration strategies, and use tools like APIs and middleware to facilitate seamless data flow and system interoperability.

What is the difference between Data Integration Manager vs Data Analyst?

AspectData Integration ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications in data management or integration toolsBachelor's degree in Statistics, Mathematics, or related field; certifications in data analysis or visualization tools
Work EnvironmentCollaborates with IT teams, data engineers, and business units to oversee data integration processesWorks with business stakeholders to analyze data, generate reports, and support decision-making
Employer & Industry UsageCommon in tech, finance, healthcare, and large enterprises managing complex data systemsWidely used across industries for data-driven roles focusing on insights and reporting

While both roles involve working with data, the Data Integration Manager focuses on overseeing the integration and management of data systems, ensuring data flows correctly across platforms. In contrast, the Data Analyst primarily interprets data to generate insights and support business decisions. Both roles require strong technical skills, but their core responsibilities and focus areas differ significantly.

What are some common challenges Data Integration Managers face when coordinating cross-departmental projects?

Data Integration Managers often encounter challenges such as aligning different departments' data standards, managing conflicting priorities, and ensuring data security across systems. Effective communication and strong project management skills are essential for navigating these complexities. Building collaborative relationships and setting clear expectations early in the project can help streamline data flows and minimize bottlenecks.

What are the key skills and qualifications needed to thrive as a Data Integration Manager, and why are they important?

To thrive as a Data Integration Manager, you need expertise in data management, ETL processes, and a strong understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, as well as experience with cloud platforms and relevant certifications, is typically required. Strong leadership, problem-solving skills, and effective communication help manage cross-functional teams and stakeholder expectations. These skills ensure seamless data flow, system reliability, and successful project delivery in complex data environments.

What does a data integration manager do?

A data integration manager oversees the process of combining data from different sources into a unified system, ensuring data quality, consistency, and accessibility. They design and implement data workflows, often using tools like ETL (Extract, Transform, Load) processes, and coordinate with IT and data teams to support business analytics and decision-making.

Is AI replacing data entry jobs?

AI is automating many data entry tasks, which can reduce the need for manual input and increase efficiency. Data Integration Managers often oversee the implementation of such technologies, requiring skills in data management tools and understanding of automation processes. While some routine jobs may decline, new roles focusing on managing and optimizing AI systems are emerging in the field.
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 job categories do people searching Data Integration Manager jobs in Ohio look for? The top searched job categories for Data Integration Manager jobs in Ohio are:
What cities in Ohio are hiring for Data Integration Manager jobs? Cities in Ohio with the most Data Integration Manager job openings:
Infographic showing various Data Integration Manager job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $102,201 per year, or $49.1 per hour.
Data Integration Engineer

Data Integration Engineer

Stellar Innovations

Dayton, OH โ€ข On-site

Full-time

Posted yesterday


Job description

00701-26
Data Integration Engineer
Do you enjoy learning about new technology and how they can be used to provide cutting-edge services to DoD and Federal Government customers? If so, then look to join the Stellar Innovations and Solutions team.
If you love technology and want a career making a difference supporting meaningful DoD and Federal programs, then Stellar Innovations is the company for you!
Stellar Innovations & Solutions Inc. is seeking aย Data Integration Analystย to join our government project supporting the Air Forceย on-site, at Wright-Patterson AFB in Dayton, OH.
Responsibilities:
This role is a unique blend of Data Architect, Data Analyst, Business Analyst, and Data Integration Engineer, focused on bridging the gap between complex technical systems and business needs within the Department of Defense (DoD) IT environment. The ideal candidate is a proactive problem-solver with strong communication skills who can work independently to investigate data paths, document system flows, and translate technical information for diverse audiences. This is a critical support role that reports directly to the Program Manager and acts as a key enabler for multiple technical teams.ย 
  • Technical Skill Set: Possess strong skills, especially scripting, in SQL and PL/SQL. Some shell scripting knowledge would be helpful. Experience with Oracle Database administration is highly desired.
  • Problem-Solving and Data Analysis: Use strong analytical skills to investigate and trace data paths across complex IT systems, ranging from mainframe legacy to modern cloud-based environments. This includes understanding where data originates and how it is used within existing code.
  • Technical-to-Business Translation: Take complex technical information and translate it into clear business needs and vice versa, effectively communicating with both technical teams and business stakeholders.
  • Data Integration and Modeling: Document data paths, perform data modeling, and assist with data transformation for reporting and analysis tools.
  • Independent Work and Initiative: Work independently with minimal supervision, taking initiative to interface with various technical teams and serve as a key support resource.
Required Experience / Clearance / Certifications:
  • DoD Approved 8570 Baseline Certification: Category IAT Level IIย (Security+ CE or higher)
  • U.S. Citizenship is Mandatory.
SIS, Inc. is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. We are also an equal opportunity employer of individuals with disabilities and protected veterans.

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