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Data Integration Engineer Jobs in Ohio (NOW HIRING)

A-TEK Inc.

Health IT Data Engineer

Continental, OH · Remote

$125K - $135K/yr

The Health IT Data Engineer will design, build, integrate, and optimize enterprise data pipelines and analytics environments supporting Health IT modernization initiatives. The successful candidate ...

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 ...

Purple Drive

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 ...

RIT Solutions

Snowflake Data Engineer

Columbus, OH · On-site

$107K - $128K/yr

Snowflake Data Engineer This is a 6-month contract and needs to meet client full-time conversion ... Hands on experience working with Talend or SSIS as an ELT tool with Snowflake and SQL server Data ...

Purple Drive

Sr Data Engineer

Columbus, OH · On-site

$107K - $128K/yr

Role: Senior Engineer Total Exp: 6 - 8 Years Skills: Python, Databricks Must have databricks ... Experience in Data Warehousing, data integration and data cleansing Development of rules and ...

CYNET SYSTEMS

Data Engineer

Mason, OH · On-site

$55 - $60/hr

Experience in ETL/ELT tools and data integration frameworks. * Strong knowledge of data warehousing ... Familiarity with CI/CD, DevOps practices, and version control tools. Responsibilities: * Design ...

Cleveland Steel Container

Data Engineer

Hudson, OH

$104K - $125K/yr

Support and extend API integration workflows built on Boomi and Python * Maintain and contribute to ... data engineering role * Strong proficiency with SQL and data modelling concepts for analytical ...

Cleveland Steel Container

Data Engineer

Hudson, OH · On-site

$104K - $125K/yr

Support and extend API integration workflows built on Boomi and Python * Maintain and contribute to ... data engineering role * Strong proficiency with SQL and data modelling concepts for analytical ...

Greenfield Talent

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

Support and extend API integration workflows built with Boomi and Python * Maintain and contribute ... a data engineering role * Strong SQL skills and a solid understanding of data modeling for ...

Genesis10

Lead Data Engineer

Columbus, OH · On-site

$60 - $68/hr

The Data Engineer Lead plays a pivotal role in building and operationalizing the minimally ... in data integration and management * Partner with data science teams and business analysts to ...

Genesis10

Lead Data Engineer

Columbus, OH · On-site

$60 - $68/hr

... integration and management Partner with data science teams and business analysts to refine data ... database programming languages and advanced analytics Experience designing, building, and ...

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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
Health IT Data Engineer

Health IT Data Engineer

A-TEK Inc.

Continental, OH • Remote

$125K - $135K/yr

Other

Posted 3 days ago

Job description

The Health IT Data Engineer will design, build, integrate, and optimize enterprise data pipelines and analytics environments supporting Health IT modernization initiatives. The successful candidate will work closely with analysts, data scientists, and application teams to deliver scalable, secure, and high-quality data solutions. This is a remote position requiring all work be performed in the continental United States. US Citizenship is required for consideration for this position.

Essential Responsibilities

  • Design and develop enterprise data pipelines and ETL processes.
  • Develop logical and physical data models.
  • Integrate data from multiple enterprise systems.
  • Implement data validation and quality control procedures.
  • Optimize database and reporting performance.
  • Support Power BI, Tableau, and enterprise reporting platforms.
  • Develop automation processes supporting data ingestion and transformation.
  • Ensure compliance with Government security and privacy requirements.
  • Troubleshoot data integration issues and performance bottlenecks.
  • Support cloud-based analytics environments and data modernization initiatives.
  • Prepare technical documentation and data architecture diagrams.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field.
  • Minimum seven (7) years of data engineering experience.
  • Strong SQL development skills.
  • Experience designing ETL pipelines.
  • Experience with relational databases and data warehousing.
  • Experience supporting enterprise reporting platforms.
  • Ability to obtain DHS Public Trust suitability.

Preferred Qualifications

  • Azure Data Factory, Synapse, Databricks, or Microsoft Fabric experience.
  • Power BI and Tableau development experience.
  • Healthcare data integration experience.
  • Knowledge of HL7 or FHIR standards.

Compensation

Expected Salary Range: $125,000-$135,000 annually. Actual compensation will be determined based on experience, qualifications, geographic location (if applicable), and final contract funding.

This position is expected to support a federal customer. Employment is contingent upon contract award and successful completion of any required background investigation or security requirements.

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