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Data Integration Jobs in Ohio (NOW HIRING)

Data Engineer

Mason, OH · On-site

$55 - $60/hr

Experience in ETL/ELT tools and data integration frameworks. * Strong knowledge of data warehousing concepts and dimensional modeling. * Experience with big data technologies (Spark, Hadoop ...

Lead Data Engineer

Columbus, OH · On-site

$60 - $68/hr

Train counterparts across the organization in data pipelining and preparation techniques, which make it easier for them to integrate and consume the data they need for their own use cases. * Work ...

Data Engineer - GCP

Dublin, OH · On-site

$110K - $132K/yr

Experience integrating KMS / HSM solutions with GCP data services. * Experience implementing metadata management solutions on GCP. * Strong verbal and written communication skills

Data Modeler

Columbus, OH · On-site

$53 - $68.50/hr

Ability to understand and explain complex data integration and extraction transformation load processes. Demonstrated experience identifying and resolving data model performance issues to optimize ...

Senior Data Engineer

Columbus, OH · On-site +1

$102K - $139K/yr

This role provides technical leadership across data integration, transformation, and delivery processes. The ideal candidate is a self-motivated problem solver with strong intellectual curiosity ...

Senior Data Engineer

Cincinnati, OH · On-site +1

$101K - $138K/yr

This role provides technical leadership across data integration, transformation, and delivery processes. The ideal candidate is a self-motivated problem solver with strong intellectual curiosity ...

Data Architect

Cleveland, OH · On-site +1

$61.75 - $79.50/hr

Familiarity with the Salesforce data model, standard/custom objects, and CRM data integration patterns. * Certifications: Active Snowflake SnowPro Core/Advanced or cloud provider certifications (AWS ...

Data Architect

Cleveland, OH · On-site

$61.75 - $79.50/hr

Familiarity with the Salesforce data model, standard/custom objects, and CRM data integration patterns. * Certifications: Active Snowflake SnowPro Core/Advanced or cloud provider certifications (AWS ...

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Data Integration information

See Ohio salary details

$9

$49

$79

How much do data integration jobs pay per hour?

As of Jun 13, 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 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 is a Data Integration job?

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 is the highest paying job in data?

In data-related fields, executive roles such as Chief Data Officer (CDO) or Chief Data Scientist tend to be the highest paying, often earning six-figure salaries or more depending on the industry and company size. These roles require extensive experience, leadership skills, and expertise in data strategy, governance, and analytics tools.

Is AI replacing data entry jobs?

AI is automating many data entry tasks by using tools like optical character recognition (OCR) and machine learning algorithms, which can increase efficiency and reduce manual labor. However, data entry jobs that require judgment, accuracy, and handling complex or unstructured data still rely on human workers, and many roles involve oversight and validation of AI outputs.

What does data integration work?

Data integration work involves combining data from different sources into a unified view to support analysis, reporting, or operational processes. Data integration specialists use tools like ETL (Extract, Transform, Load) software and SQL to ensure data consistency, accuracy, and accessibility across systems. This role often requires knowledge of databases, scripting, and data management best practices.

What are the key skills and qualifications needed to thrive in the Data Integration position, 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.

Is data integration a good career?

Data integration is a viable career path involving combining data from different sources to ensure consistency and accessibility. It requires skills in database management, ETL tools, and programming languages like SQL or Python, with opportunities in various industries such as finance, healthcare, and technology. The role often offers steady demand and potential for advancement as organizations increasingly rely on integrated data 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:
Infographic showing various Data Integration job openings in Ohio as of June 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 100% In-person job distribution, with an average salary of $102,201 per year, or $49.1 per hour.
Sr Data Solutions Architect

Sr Data Solutions Architect

Crown Equipment Corporation

New Bremen, OH • On-site

$69.75 - $93.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Crown Equipment Corporation rating

8.0

Company rating: 8.0 out of 10

Based on 247 frontline employees who took The Breakroom Quiz

139th of 417 rated machine equipment manufacturers


Job description

Company Description:
Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world's largest lift truck manufacturers, we are committed to providing the customer with the safest, most efficient and ergonomic lift truck possible to lower their total cost of ownership.
Job Posting External
Primary Responsibilities
  • Design data models and structures that support efficient reporting, dashboards, and analytics use cases.
  • Create semantic layers and data marts optimized for business intelligence consumption.
  • Architect solutions that enable self-service analytics while maintaining governance and security.
  • Design infrastructure to support advanced analytics, machine learning, and AI initiatives.
  • Implement metadata management and data cataloging solutions to improve data discoverability.
  • Design and architect end-to-end data solutions including data ingestion, storage, processing, integration, and consumption layers.
  • Develop comprehensive data architecture blueprints and technical roadmaps aligned with business strategy and analytics requirements.
  • Create reference architectures for data platforms supporting analytics, reporting, and operational use cases.
  • Design solutions that ensure data quality, security, privacy, compliance, and governance across enterprise.
  • Architect data integration solutions across SAP, IFS, BAAN, Quipware and other enterprise applications to create unified data assets.
  • Design and implement data extraction, transformation, and loading (ETL/ELT) processes from multiple ERP sources.
  • Develop master data management strategies to ensure data consistency across disparate systems.
  • Create integration patterns for real-time and batch data synchronization between source systems and data platforms.
  • Ensure seamless data flow across manufacturing, supply chain, finance, sales, and customer service domains.
  • Address data quality, reconciliation, and harmonization challenges across heterogeneous systems.
  • Define and implement data governance frameworks including data lineage, metadata management, and data quality rules.
  • Ensure solutions comply with regulatory requirements and industry standards (GDPR, SOX, etc.).
  • Design security architecture including role-based access control, data masking, and audit logging.
  • Establish data retention, archival, and lifecycle management policies.

Minimum Qualifications
  • Bachelor's degree in Engineering, Science, Information Systems, Finance or related field with at least 10 years related experience in delivering analytics solution in a manufacturing/services industry
    • Non-degree considered if 12+ years of related experience along with a high school diploma or GED
  • Occasional travel (0-5%)

Preferred Qualifications
  • 8+ years of experience in data architecture, data engineering, or related roles with increasing responsibility.
  • 5+ years of hands-on experience designing and implementing enterprise data solutions.
  • Extensive experience with ERP systems, particularly SAP (SAP ECC, S/4HANA) and/or IFS.
  • Proven track record architecting cloud-based data platforms, preferably on Microsoft Azure.
  • Experience in manufacturing, supply chain, or industrial environments
  • Demonstrate success delivering large-scale data integration and migration projects.
  • Experience with additional cloud platforms (AWS, Google Cloud Platform).
  • Certifications such as Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, or similar.
  • Knowledge of SAP BW/4HANA, SAP Data Services, or SAP Data Intelligence. Experience with IoT data platforms and manufacturing operational technology (OT) systems. Understanding of Industry 4.0, IIoT, and smart manufacturing concepts.

Must live within a reasonable commute of the New Bremen, OH location. Relocation assistance provided.
Compensation and Benefits:
Crown offers an excellent wage and benefits package for full-time employees including Health/Dental/Vision/Prescription Drug Plan, Flexible Benefits Plan, 401K Retirement Savings Plan, Life and Disability Benefits, Paid Parental Leave, Paid Holidays, Paid Vacation, Tuition Reimbursement, and much more.
EOE Veterans/Disabilities

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About Crown Equipment

Sourced by ZipRecruiter

Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world's largest lift truck manufacturers, we are committed to providing the customer with the safest, most efficient and ergonomic lift truck possible to lower their total cost of ownership.

Industry

Trucking and warehousing and storage

Company size

10,000+ Employees

Headquarters location

New Bremen, OH, US

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