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Data Integration Engineer Jobs in Ohio (NOW HIRING)

Purple Drive Technologies

Senior Data Engineer

Columbus, OH · On-site

$102K - $139K/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 · Hybrid

$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 ...

FEDRUS GLOBAL LLC

Data Engineer III

Cincinnati, OH · On-site

$109K - $132K/yr

Core Role Summary Seeking a hands-on Data Engineer/Architect III to assess, optimize, and support ... integration across APIs, databases, and cloud storage

Purple Drive Technologies

Sr Data Engineer

Columbus, OH · On-site

$110K - $132K/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 ...

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 ...

Arhaus

Data Engineer

Boston Heights, OH · On-site

$104K - $125K/yr

This role is focused on modern data engineering and AI integration within a cloud-based ecosystem. Key responsibilities include: Data Engineering & Snowflake: * Design, develop, and optimize data ...

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 ... integration and management. * Work in partnership with data science teams and with business ...

Prophecy Technologies

Data Engineer - GCP

Dublin, OH · On-site

$110K - $132K/yr

Job Summary The Senior Data Engineer will design, build, optimize, and support enterprise-scale ... Experience integrating KMS / HSM solutions with GCP data services. * Experience implementing ...

Prophecy Technologies

Data Engineer - GCP

Dublin, OH · Hybrid

$108K - $129K/yr

Job Summary The Senior Data Engineer will design, build, optimize, and support enterprise-scale ... Experience integrating KMS / HSM solutions with GCP data services. * Experience implementing ...

Dcode Talent LLC

Integration Platform Engineer

Cincinnati, OH · On-site

$99K - $134K/yr

Integration Platform Engineer Location: Cincinnati Metropolitan Area, Ohio Duration: 6+ months ... support data and trends to reduce time and money spent towards support activities. • Analyze ...

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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 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.

Senior Data Engineer

Purple Drive Technologies

Columbus, OH • On-site

$102K - $139K/yr

Full-time

Posted 12 hours ago

Job description

Overview:
Role Overview
We are seeking a Data Engineer with strong expertise in Databricks, Python, and PySpark, coupled with experience in CI/CD pipelines. 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 platforms.
Key Responsibilities
  • Design, build, and optimize data pipelines using Databricks, PySpark, and Python.
  • Develop and maintain data quality rules, transformations, and mappings to ensure data accuracy and consistency.
  • Write and optimize complex SQL queries for large-scale data processing.
  • Work with cloud platforms (AWS/Azure/GCP) to deliver secure, scalable solutions.
  • Support data integration, data warehousing, and cleansing initiatives.
  • Collaborate with cross-functional teams to deliver high-quality solutions following Agile Scrum practices.
  • Troubleshoot production issues in Oracle and MS SQL Server environments and drive timely resolution.
  • Implement CI/CD pipelines for continuous integration, testing, and deployment.
  • Follow best practices for data management and software development lifecycle (SDLC).
Required Skills & Experience
  • 6-8 years of overall IT/data engineering experience.
  • Must have: Databricks, Python, PySpark, and CI/CD experience.
  • 3-5 years of experience in data management, warehousing, integration, and cleansing.
  • Strong SQL programming skills (Oracle and MS SQL preferred).
  • 2+ years of experience with Python (Perl is a plus).
  • 3+ years working with cloud technologies (AWS, Azure, or GCP).
  • Strong analytical, problem-solving, and troubleshooting skills.
  • Experience in Agile Scrum delivery and SDLC processes.
Nice-to-Have Skills
  • Experience with data governance and metadata management.
  • Exposure to ETL tools and orchestration frameworks (Airflow, ADF, etc.).
  • Knowledge of DevOps practices and containerization (Docker, Kubernetes).

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