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Data Integration Engineer Jobs in Ohio (NOW HIRING)

Princeton IT Services

Database & Integration Engineer Location: Downtown Toronto, ON Employment Type: Full-Time / ... Ensure data integrity and consistency during modernization and cloud migration initiatives.

Vertiv Co

Sr. Integration Engineer

Westerville, OH · On-site

$100K - $134K/yr

Job Summary The Sr. Integration Engineer plays a major role in the Vertiv digital transformation ... data center technology company. We ensure customers' vital applications run continuously by ...

Vertiv Group Corp.

Sr. Integration Engineer

Westerville, OH · On-site

$100K - $134K/yr

Job Summary The Sr. Integration Engineer plays a major role in the Vertiv digital transformation ... data center technology company. We ensure customers' vital applications run continuously by ...

Sarian, Inc.

GCP Data Engineer

Brooklyn, OH · On-site

$107K - $129K/yr

GCP Data Engineer * Experience ... Realtime and batch data integration development experience using GCP services. * Experience ...

SARIAN Co

GCP Data Engineer

Brooklyn, OH · On-site

$107K - $129K/yr

GCP Data Engineer * Experience ... Realtime and batch data integration development experience using GCP services. * Experience ...

Diverse Lynx

Data engineer

Cleveland, OH · On-site

$60/hr

Develop and maintain data warehouses| data lakes| and data integration solutions. Collaborate with data analysts| data scientists| product managers| and software engineers to support analytics and ...

RIT Solutions, Inc.

Data Engineer

Cincinnati, OH

$109K - $132K/yr

Data Engineer Location: Cincinnati, OH ( requires on-site work 5 days per week in downtown ... integration. Key Skills * dvanced SQL * ETL/ELT pipeline development * dbt (data build tool)

Astrion

Avionics Integration Engineer, F-15

Dayton, OH · On-site

Overview Avionics Integration Engineer LOCATION: Wright-Patterson AFB, OH JOB STATUS: Full-time ... Accomplish data processing including centroiding, tracker, timing issues, data loading issues ...

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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:
Data Integration Engineer jobs near you
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.

Database and Integration Engineer

Princeton IT Services

On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Database & Integration Engineer

Location: Downtown Toronto, ON
Employment Type: Full-Time / Contract

Job Overview

We are seeking a skilled Database & Integration Engineer to support enterprise data migration, integration, and modernization initiatives while ensuring data integrity, scalability, and high system performance. The ideal candidate will have strong experience working with cloud platforms, ETL frameworks, APIs, and enterprise database environments.

Key Responsibilities

  • Design, develop, and maintain enterprise data integration solutions.
  • Support ETL development and enterprise data migration projects.
  • Work with SQL and NoSQL databases across multiple platforms.
  • Ensure data integrity and consistency during modernization and cloud migration initiatives.
  • Develop scalable integration frameworks and APIs.
  • Collaborate with cloud, infrastructure, and application development teams.
  • Support analytics, reporting, and operational data requirements.
  • Work within Azure and Google Cloud Platform cloud environments to support enterprise integration needs.

Required Skills & Experience

  • Strong experience with SQL and NoSQL databases.
  • Hands-on experience with enterprise ETL frameworks and data pipelines.
  • Experience in large-scale data migration projects.
  • Cloud integration experience with Azure and Google Cloud Platform platforms.
  • Experience with API integration and enterprise integration frameworks.
  • Strong understanding of data integrity, governance, and best practices.
  • Excellent analytical and troubleshooting skills.
  • Strong communication and collaboration abilities.

Preferred Qualifications

  • Experience working in enterprise modernization initiatives.
  • Knowledge of cloud-native integration tools and services.
  • Familiarity with data warehousing and analytics platforms.
  • Experience working in Agile environments.

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