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Data Integration Jobs in Ohio (NOW HIRING)

Americhem

Data Engineer Intern

Cuyahoga Falls, OH · On-site

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 ...

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 ...

Staffwing Inc

Pentaho Data Integrator

Columbus, OH · On-site

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 ...

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 ...

New

Novocure Inc

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 ...

New

Cleveland Steel Container

Data Engineer

Hudson, OH · On-site

$104K - $125K/yr

Ensure data reliability, consistency, and availability for downstream consumers ... Support and extend API integration workflows built on Boomi and Python * Maintain and contribute to ...

Purple Drive Technologies

Sr Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Experience in Data Warehousing, data integration and data cleansing Development of rules and mappings for data quality and accuracy Strong experience in writing complex SQL 2 year's experience with ...

Eaton

Senior Data Architect

Beachwood, OH · On-site

$130K - $190K/yr

Apply expertise in data governance, metadata management, and data integration to support the creation of scalable and reusable data assets. Work with engineers and analysts to implement data quality ...

Cynet Systems

Data Engineer

Mason, OH

$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 ...

Stantec

Senior Data Architect

Columbus, OH · On-site

$65 - $86.75/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 ...

Purple Drive Technologies

Senior Data Engineer

Columbus, OH · On-site

$102K - $139K/yr

The ideal candidate will have a solid background in data management, data warehousing, and data integration , with proven experience in developing scalable, high-performance data solutions on cloud ...

InterSources

Data Engineer

Cincinnati, OH

$109K - $132K/yr

Implement data integration solutions using Azure Data Factory and manage data storage in Azure Storage Accounts. * Utilize Informatica Data Cloud Management for data governance and quality assurance.

APCO Holdings

Senior Data Developer

Westerville, OH · On-site

Design, develop, and maintain data integration solutions using SQL Server, SSIS, Azure Data Factory, and related tools * Build scalable, reliable ETL pipelines to support enterprise business ...

Litera

Integration Engineering Consultant

London, OH

$98K - $132K/yr

Data Services Integration Engineer Join the Legal Tech Revolution at Litera Are you ready to shape the future of how law is practiced? At Litera, we're on a mission to Raise The Bar for the legal ...

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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:
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 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.
Data Engineer Intern

Data Engineer Intern

Americhem

Cuyahoga Falls, OH • On-site

Other

Posted 15 days ago

Americhem rating

9.0

Company rating: 9.0 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

2nd of 79 rated plastic manufacturers

Job description

Position Summary:

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 is currently pursuing an Associate’s, Bachelor’s, or Master’s degree in Computer Science, Information Systems, Data Analytics, Software Engineering, or a related field, or who has completed such a degree within the last year. The intern will work with business and technology teams to help organize data, support reporting and analytics needs, and contribute to the development of reliable data pipelines and data quality practices. This is a hands-on learning opportunity for someone who wants to build practical experience in databases, SQL, data transformation, and modern ETL/ELT processes.

Position Requirements/Preferred Qualifications:

Education:

  • Currently pursuing or completed within the last 12 months an Associate’s, Bachelor’s, or master’s degree in computer science, Information Technology, Information Systems, Data Engineering, Data Analytics, Software Engineering, or a related field

Experience:

  • Academic coursework, internship experience, training, certification, or hands-on project work related to databases, SQL, data integration, analytics, or cloud-based data platforms
  • Working knowledge of relational databases, data structures, and data modeling fundamentals
  • Ability to write and understand SQL queries for data extraction, transformation, validation, and analysis
  • Exposure to ETL/ELT concepts and frameworks through coursework, labs, bootcamps, or projects
  • Familiarity with one or more data integration or cloud data tools from Microsoft, IBM, or AWS is preferred (for example, Azure Data Factory, Microsoft Fabric, IBM DataStage, AWS Glue, or related services)
  • Knowledge of reporting, dashboards, scripting, or data warehouse concepts is a plus

Skills:

  • Strong analytical, problem-solving, and organizational skills
  • Strong verbal and written communication skills, with the ability to explain technical concepts.
  • Attention to detail and commitment to data accuracy, consistency, and documentation
  • Collaborative mindset with the ability to work effectively across technical and business teams

Essential Duties:

  • Assist in collecting, profiling, cleansing, and validating data from enterprise systems and other internal or external sources
  • Support the development, testing, and maintenance of SQL queries, data transformations, and data integration workflows
  • Participate in ETL/ELT activities to move and prepare data for reporting, analytics, and operational use
  • Work with analysts, developers, and business stakeholders to understand data requirements and support scalable solutions
  • Assist with data loading, integration, and pipeline activities using modern platforms and tools, including Microsoft, IBM, or AWS technologies where applicable
  • Create and maintain documentation for data sources, field definitions, mappings, transformations, and process flows
  • Support reporting, dashboarding, and basic data analysis needs by preparing trusted datasets and validating outputs

Desired Qualities/Attributes

  • Curiosity about data, technology, and how information can improve business decisions.
  • Detail-oriented approach with a strong focus on accuracy, completeness, and repeatable processes.
  • Willingness to learn data engineering concepts, tools, and best practices in a fast-paced environment.
  • Ability to work independently on assigned tasks while also collaborating effectively with mentors and teammates.
  • Commitment to documentation, continuous improvement, and delivering reliable results.

Safety Compliance

The safety of our employees takes precedence over all other initiatives and considerations. All employees are required to comply with established safety protocols as outlined in our policies, procedures, and corporate communications. All employees are responsible for complying with the most current safety practices as communicated by the Company.

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