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Data Engineer Internship Jobs in Ohio (NOW HIRING)

Americhem

Data Engineer Intern

Cuyahoga Falls, OH · On-site

Academic coursework, internship experience, training, certification, or hands-on project work ... Work with analysts, developers, and business stakeholders to understand data requirements and ...

Medpace

Junior Data Engineer

Cincinnati, OH · On-site

Required : • Bachelor's Degree in Computer Science, Data Science, or a related field • Internship experience in Data or Software Engineering • Knowledge of developing dimensional data models ...

Medpace, Inc.

Junior Data Engineer

Cincinnati, OH · On-site

Internship experience in Data or Software Engineering; * Knowledge of developing dimensional data models and awareness of the advantages and limitations of Star Schema and Snowflake schema designs;

Medpace, Inc.

Junior Data Engineer

Cincinnati, OH

Internship experience in Data or Software Engineering; * Knowledge of developing dimensional data models and awareness of the advantages and limitations of Star Schema and Snowflake schema designs;

Tata Consultancy Services

$109K - $131K/yr

... or internship experience in machine learning, AI, or data-driven projects. • Solid understanding of algorithms, data structures, and machine learning concepts. • Experience with data ...

Posted today

Tata Consultancy Services

Agentic AI Engineer

Cincinnati, OH · On-site

$105K - $127K/yr

... or internship experience in machine learning, AI, or data-driven projects. • Solid understanding of algorithms, data structures, and machine learning concepts. • Experience with data ...

cgs

Engineer Intern

Upper Sandusky, OH · On-site

$16.25 - $21.25/hr

Job Title: Process Engineer Internship Pay Type: Hourly Non-Exempt, Temporary Reports To ... Monitor process data and lead continuous improvement projects using Lean and Six Sigma ...

Custom Glass Solutions

Engineer Intern

Upper Sandusky, OH · On-site

$16.25 - $21.25/hr

Job Title: Process Engineer Internship Pay Type: Hourly Non-Exempt, Temporary Reports To ... Monitor process data and lead continuous improvement projects using Lean and Six Sigma ...

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Data Engineer Internship information

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How much do data engineer internship jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for data engineer internship in Ohio is $24.16, according to ZipRecruiter salary data. Most workers in this role earn between $19.66 and $27.40 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Engineer Internship position, and why are they important?

To thrive as a Data Engineer Intern, you need a solid background in programming (especially Python or Java), SQL, and basic data management concepts, often gained through coursework in computer science, data science, or related fields. Experience with tools like SQL databases, ETL pipelines, and cloud platforms (such as AWS or Azure), as well as familiarity with big data frameworks like Hadoop or Spark, is highly valuable. Strong analytical thinking, attention to detail, and the ability to communicate technical information clearly help interns collaborate effectively within diverse teams. These skills are vital for supporting data infrastructure development, ensuring data quality, and contributing to impactful data-driven solutions.

What is a Data Engineer Internship job?

A Data Engineer Internship is a temporary, entry-level role where interns gain hands-on experience in data infrastructure, ETL pipelines, and database management. Interns typically work with large datasets, assist in building data models, and collaborate with data scientists and analysts to ensure efficient data processing. They learn tools like SQL, Python, and cloud platforms while improving data quality and automation processes. This role provides valuable industry experience and prepares interns for full-time data engineering positions.

What types of projects or tasks can I expect to work on during a Data Engineer Internship?

As a Data Engineer Intern, you can expect to assist with building and maintaining data pipelines, cleaning and transforming datasets, and supporting the integration of new data sources. You may also help optimize database performance, troubleshoot data quality issues, and collaborate with data scientists or analysts to ensure data accessibility. Interns often work on real-world projects that offer hands-on experience with tools and technologies common in the industry. This exposure not only builds your technical skills but also provides valuable insights into how data engineering supports business decision-making and analytics.

What are the most commonly searched types of Data Engineer jobs in Ohio? The most popular types of Data Engineer jobs in Ohio are:
What are popular job titles related to Data Engineer Internship jobs in Ohio? For Data Engineer Internship jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Engineer Internship jobs in Ohio look for? The top searched job categories for Data Engineer Internship jobs in Ohio are:
What cities in Ohio are hiring for Data Engineer Internship jobs? Cities in Ohio with the most Data Engineer Internship job openings:
Data Engineer Internship jobs near you
Infographic showing various Data Engineer Internship job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $50,260 per year, or $24.2 per hour.
Data Engineer Intern

Data Engineer Intern

Americhem

Cuyahoga Falls, OH • On-site

Other

Re-posted 17 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 81 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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