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Internship Data Engineer Intern Jobs in Ohio (NOW HIRING)

Americhem

Data Engineer Intern

Cuyahoga Falls, OH · On-site

We are seeking a motivated and detail-oriented Data Engineer Intern to support the design ... Academic coursework, internship experience, training, certification, or hands-on project work ...

cgs

Engineer Intern

Upper Sandusky, OH

$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 ...

ANS

Lab Engineer (Intern)

Columbus, OH · On-site

$18 - $22/hr

Data Recording: Maintain comprehensive documentation of test procedures, observations, and results ... Frequent kneeling and squatting $18 - $22 an hour INTERNSHIP DURATION The internship is initially ...

ANS

Lab Engineer (Intern)

Columbus, OH

$18 - $22/hr

Data Recording: Maintain comprehensive documentation of test procedures, observations, and results ... Frequent kneeling and squatting $18 - $22 an hour INTERNSHIP DURATION The internship is initially ...

Apex Tool Group, LLC

Engineering Intern

Dayton, OH

$14.75 - $19.25/hr

This internship offers hands-on experience in product design, engineering documentation, and cross ... Maintain and update engineering models, drawings, product data sheets, and design history ...

Apex Tool Group

Engineering Intern

Dayton, OH

$16.25 - $21.25/hr

This internship offers hands-on experience in product design, engineering documentation, and cross ... Maintain and update engineering models, drawings, product data sheets, and design history ...

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Internship Data Engineer Intern information

What are the key skills and qualifications needed to thrive as an Internship Data Engineer Intern, and why are they important?

To thrive as an Internship Data Engineer Intern, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by coursework or projects in computer science or data engineering. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data visualization software is commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate and learn quickly. These competencies ensure interns can contribute to data projects, adapt to new technologies, and support data-driven decision-making.

What does a Data Engineer Intern do?

A Data Engineer Intern assists in designing, building, and maintaining the infrastructure needed to collect, store, and analyze data. They typically work with large datasets, helping to ensure data is clean, well-organized, and accessible for analytics or business needs. Interns often collaborate with data scientists and software engineers, learning key skills such as data modeling, ETL (extract, transform, load) processes, and using tools like SQL, Python, and cloud platforms. The role provides hands-on experience in building data pipelines and understanding how data drives decision-making in organizations.

What is the difference between Internship Data Engineer Intern vs Data Engineer?

AspectInternship Data Engineer InternData Engineer
Required CredentialsEnrolled in or recent graduate of a related degree (e.g., Computer Science, Data Science)Bachelor's or higher in Computer Science, Data Engineering, or related field; often requires experience or certifications
Work EnvironmentInternship setting, supervised, part-time or full-time during studiesFull-time professional role, often in a team managing data pipelines and infrastructure
Employer & Industry UsageUsed by tech companies, startups, and organizations offering training opportunitiesUsed across industries like tech, finance, healthcare, and more for data management and analytics

The Internship Data Engineer Intern position is an entry-level, temporary role designed for students or recent graduates gaining hands-on experience. In contrast, a Data Engineer is a full-time professional responsible for building and maintaining data systems. The internship provides foundational exposure, while the Data Engineer role involves ongoing, complex data infrastructure work.

What types of projects and technologies can I expect to work with as a Data Engineer Intern?

As a Data Engineer Intern, you can expect to work on projects involving the development, testing, and maintenance of data pipelines and databases. You'll likely use technologies such as SQL, Python, and cloud platforms like AWS or Azure, depending on the company's stack. Interns often assist with data cleaning, integration, and transforming raw data into usable formats for analytics teams. Collaboration with data scientists, analysts, and senior engineers is common, providing valuable exposure to real-world workflows and teamwork in a data-driven environment.
What are popular job titles related to Internship Data Engineer Intern jobs in Ohio? For Internship Data Engineer Intern jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Internship Data Engineer Intern jobs in Ohio look for? The top searched job categories for Internship Data Engineer Intern jobs in Ohio are:
What cities in Ohio are hiring for Internship Data Engineer Intern jobs? Cities in Ohio with the most Internship Data Engineer Intern job openings:
Internship Data Engineer Intern jobs near you
Data Engineer Intern

Data Engineer Intern

Americhem

Cuyahoga Falls, OH • On-site

Other

Re-posted 18 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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