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Data Integration Engineer Jobs in Ohio (NOW HIRING)

Data Engineer

Cincinnati, OH

$109K - $132K/yr

Integrate data from various sources, including databases, APIs, and third-party data providers ... Experience with other programming languages such as Java or Scala is a plus. * Experience with SQL ...

Senior, Data Engineer

Columbus, OH · Remote

$140K - $160K/yr

Designs, develops, and optimizes data integration processes, ETL workflows, and data platforms ... Advanced expertise in T-SQL programming, scripting, and optimization techniques, with the ability ...

Data Engineer Pay Range: $55/hr - $60/hr Requirement/Must Have: * 7+ years of experience in Data ... Experience in ETL/ELT tools and data integration frameworks. * Strong knowledge of data warehousing ...

We are seeking a motivated and detail-oriented Data Engineer Intern to support the design, preparation, integration, and improvement of enterprise data assets. This role is ideal for a candidate who ...

Perform systems engineering to include expertise in systems design and integration; manufacturing, quality and industrial engineering; airworthiness; and configuration, and data management. * Assist ...

Data Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

Advance Data Engineer We are seeking a highly skilled Advanced Data Engineer with a strong ... Implement data integration solutions using Azure Data Factory and manage data storage in Azure ...

Senior Data Engineer

Columbus, OH · On-site

$99K - $134K/yr

Role Overview We are seeking a Data Engineer with strong expertise in Databricks, Python, and ... Support data integration, data warehousing, and cleansing initiatives. * Collaborate with cross ...

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Data Integration Engineer information

See Ohio salary details

$9

$49

$79

How much do data integration engineer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for data integration engineer 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 are some common challenges Data Integration Engineers face when working with multiple data sources?

Data Integration Engineers often encounter challenges such as handling inconsistent data formats, resolving data quality issues, and ensuring seamless data flow between disparate systems. Integrating legacy databases with modern cloud platforms can require creative problem-solving and careful planning. Additionally, maintaining data security and compliance across various sources demands a strong understanding of protocols and best practices. Collaboration with data architects, developers, and business analysts is crucial to address these challenges effectively and deliver reliable integration solutions.

What are Data Integration Engineers?

Data Integration Engineers are IT professionals who design, build, and maintain systems that combine data from multiple sources into a unified view. They develop and manage data pipelines, ensuring data flows smoothly between databases, applications, and storage solutions. Their work enables organizations to access accurate and consistent information for analytics, reporting, and business decision-making. Data Integration Engineers often use ETL (Extract, Transform, Load) tools, APIs, and custom scripts to achieve seamless data integration.

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

To thrive as a Data Integration Engineer, you need strong skills in data modeling, ETL (extract, transform, load) processes, and experience with database management, often supported by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, and knowledge of programming languages such as SQL and Python, are typically required. Excellent problem-solving abilities, attention to detail, and effective communication help you collaborate with cross-functional teams and resolve integration challenges. These skills are critical for ensuring seamless data flow, system interoperability, and the delivery of reliable, actionable business insights.

What is the difference between Data Integration Engineer vs Data Engineer?

AspectData Integration EngineerData Engineer
Primary FocusDesigning and implementing data pipelines for integration and ETL processesBuilding and maintaining data infrastructure, including storage and processing systems
Skills & CertificationsSQL, ETL tools, data warehousing, cloud platformsSQL, programming (Python, Java), big data technologies, cloud services
Work EnvironmentData teams, analytics departments, data warehousesData engineering teams, infrastructure, data lakes
Industry UsageUsed across industries for data integration tasksUsed for creating scalable data pipelines and infrastructure

While both roles involve working with data, Data Integration Engineers focus on connecting and transforming data from various sources, whereas Data Engineers build the underlying systems and infrastructure to support data storage and processing. Both roles often collaborate but serve different core functions within data teams.

What are popular job titles related to Data Integration Engineer jobs in Ohio? For Data Integration Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Integration Engineer jobs in Ohio look for? The top searched job categories for Data Integration Engineer jobs in Ohio are:
What cities in Ohio are hiring for Data Integration Engineer jobs? Cities in Ohio with the most Data Integration Engineer job openings:
Infographic showing various Data Integration Engineer job openings in Ohio as of May 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $102,201 per year, or $49.1 per hour.
Integration Engineer II- AI & Engineering

Integration Engineer II- AI & Engineering

Deloitte

Cincinnati, OH • On-site

$101K - $136K/yr

Full-time

Posted 5 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Job Summary:
Deloitte is a leading consulting firm seeking an Integration Engineer II to join their AI & Engineering team. The role involves developing integration solutions, managing APIs, and collaborating with cross-functional teams to optimize business processes and enhance client success.
Responsibilities:
• Integration Design & Architecture: Design complex integration solutions following industry best practices and leveraging various integration design patterns (e.g., publish/subscribe, request/reply, aggregator). Develop and implement solutions that adhere to established enterprise architecture frameworks.
• API Management: Design, build, and manage APIs using API Management capabilities, ensuring secure and efficient communication between systems (REST/SOAP).
• EDI Implementation & Management: Implement and manage Electronic Data Interchange (EDI) processes, including configuration of trading partners, profiles, and standards (ANSI X12, EDIFACT).
• Development & Deployment: Develop, test, and deploy integration processes across environments (Test, UAT, Production), managing the full software development lifecycle (SDLC).
• Troubleshooting and Support: Monitor integration performance, proactively identify and resolve issues, and provide expert-level post-deployment support.
• Documentation: Create and maintain comprehensive technical documentation for designs, configurations, data mapping, and architectural decisions.
• Collaboration & Best Practices: Work closely with cross-functional teams to optimize data flows and adhere to industry best practices in integration development.
• Accountability: Take ownership of assigned integration projects, manage expectations, and guide junior team members toward successful project delivery.
• AI & Agentic Integration: Utilize AI features (e.g., MuleSoft Vibes) to accelerate development, automate documentation, and troubleshoot issues.
Qualifications:
Required:
• Bachelor's degree in computer science, software engineering, information technology or a related field.
• 4+ years of hands-on experience with the MuleSoft which should include understanding requirements and translating into technical designs.
• 4+ years of experience in the design and development of enterprise services using RAML in Mule, REST based APIs, SOAP Web Services and use of different Mule connectors.
• Should have MuleSoft Anypoint studio experience - hands-on designing and related Mule components (Mule ESB, ETLs, flows, Dataweave, Filtering, exception handling)
• Previous experience working in a consulting firm environment or within a relevant industry sector (e.g. retail, healthcare, manufacturing, financial services, etc.).
• Experience with Java, middleware, Mule ESB, strong knowledge of SOA and experience in designing Mule interfaces.
• Fluency with Web Services Standards such as XML, SOAP, REST, strong understanding of RDBMS.
• Must have experience with Mule ESB, SOA, Json, XDS, XML.
• 3+ years of hands-on experience in design and development of complex use cases involving MuleSoft.
• Experience in continuous integration and continuous deployment using Maven, Jenkins, BitBucket, GIT, and MuleSoft with familiarity with DevOps principles.
• Experience building MUnit test cases
• Current MuleSoft certifications.
• Experience working in an Agile environment.
• Strong understanding of enterprise integration design patterns, API protocols (REST/SOAP), XML, JSON, and data mapping.
• Experience with EDI standards (ANSI X12, EDIFACT) and implementing EDI solutions, including understanding of common documents (810, 850, 856, etc.)
• Experience with rational databases and strong SQL skills.
• Strong understanding of the SDLC methodologies.
• One certification in a cloud technology platform such as AWS, GCP or Azure.
• Proficiency in at least one programming language - Spring Boot, JavaScript or Python.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
• Ability to travel up to 50% of the time, based on the work you do and the clients and industries/sectors you serve.
Preferred:
• Exposure to and understanding of enterprise architecture frameworks (e.g. TOGAF)
• Experience integrating specific enterprise systems such as Salesforce, SAP, Oracle, HCM, Workday, etc.
• Familiarity with cloud technologies and architectures (AWS, Azure, GCP).
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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