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Data Integration Engineer Jobs in Ohio (NOW HIRING)

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 ...

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 ...

Carrington

Senior, Data Engineer

Columbus, OH · On-site

$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 ...

Diaconia

Systems Integration Engineer, Senior

Dayton, OH · On-site

$80K - $110K/yr

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

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All JobsData Integration Engineer JobsData Integration Engineer Jobs in Ohio

Data Integration Engineer information

See Ohio salary details

$9

$49

$79

How much do data integration engineer jobs pay per hour?

As of Jul 5, 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 engineers make $200,000 a year?

Data Integration Engineers with extensive experience, advanced skills in data pipelines, and proficiency in tools like ETL platforms and cloud services can earn $200,000 or more annually. High salaries are often associated with senior roles, specialized expertise, and working in industries such as finance, technology, or consulting.

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 engineers make $500,000 a year?

Senior data integration engineers with extensive experience, advanced skills in ETL tools, cloud platforms, and programming languages can reach or exceed a $500,000 annual salary, especially in high-cost-of-living areas or executive roles. Such compensation often includes bonuses, stock options, or other incentives and typically requires a strong track record of complex project management and technical expertise.

What engineers make $300,000 a year?

Senior data integration engineers with extensive experience, advanced skills in ETL tools, cloud platforms, and programming languages can earn $300,000 or more annually. High compensation is often associated with roles in large organizations, specialized expertise, and leadership responsibilities.

What does a data integration engineer do?

A data integration engineer designs, develops, and maintains systems that combine data from multiple sources to ensure accurate and efficient data flow within an organization. They work with tools like ETL (Extract, Transform, Load) processes, databases, and data pipelines, often requiring knowledge of programming languages and data modeling. Their role supports data analysis, reporting, and decision-making by ensuring data consistency and accessibility.
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:
Data Integration Engineer jobs near you

GCP Data Engineer

Sarian, Inc.

Brooklyn, OH • On-site

$107K - $129K/yr

Full-time

Posted 21 days ago

Job description

Role: GCP Data Engineer
Location: Brooklyn, OH
Fulltime position
Onsite position
JD:
  • GCP Data Engineer
  • Experience:
  • Realtime and batch data integration development experience using GCP services.
  • Experience extracting, transforming, and loading data from various types of sources.
  • Demonstrated ability to lead projects and teams, with experience as a technical lead or similar leadership role.
  • Preferred: financial services industry experience.
  • SQL.
  • Google BigQuery.
  • Google Cloud Data Pipeline Tools (such as Google Cloud Datastream, DataFlow etc.).Google Cloud Composer.
  • Google Cloud Run.GitHub.
  • Python.
  • Teraform.
  • Google Pub/Sub.
  • Salesforce data integration experience.
  • Oracle/SQL server data integration experience.

Thanks, and have a nice day
Manikanth
Sarian Solutions, Inc. |Ph: 732-790-2266 x 201 |Fax: 732-696-4242|manikanth.d@sariansolutions.com
www.sariansolutions.com | Certified Minority Business Enterprise (WMBE)
follow us: @sariansol | Check our current openings at https://www.sarianinc.com/work-with-us

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