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Internship Ibm Computer Science Jobs in Ohio (NOW HIRING)

... in Computer Science, Information Systems, Data Analytics, Software Engineering, or a related field ... Academic coursework, internship experience, training, certification, or hands-on project work ...

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

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Internship Ibm Computer Science information

What is the difference between Internship Ibm Computer Science vs Software Engineer Intern?

AspectInternship Ibm Computer ScienceSoftware Engineer Intern
Required CredentialsTypically pursuing a Computer Science degree or related fieldSame as IBM internship, often requiring ongoing CS coursework
Work EnvironmentCorporate office, research labs, or remoteTech companies, startups, or corporate offices
Industry UsageUsed across tech, consulting, and enterprise sectorsPrimarily in software development and tech firms
Common Search/ComparisonYesYes

Both internships target students in Computer Science, offering hands-on experience in software development. The IBM internship emphasizes exposure to enterprise solutions and research, while a Software Engineer Intern role focuses more on coding, application development, and software projects within tech companies. The key differences lie in the specific industry focus and potential project types, but both serve as valuable entry points into tech careers.

What are the most commonly searched types of Ibm Computer Science jobs in Ohio? The most popular types of Ibm Computer Science jobs in Ohio are:
What cities in Ohio are hiring for Internship Ibm Computer Science jobs? Cities in Ohio with the most Internship Ibm Computer Science job openings:
Infographic showing various Internship Ibm Computer Science job openings in Ohio as of June 2026, with employment types broken down into 10% Internship, 47% Full Time, 38% Part Time, and 5% Temporary. Highlights an 85% In-person, 5% Hybrid, and 10% Remote job distribution.
Data Engineer Intern

Data Engineer Intern

Americhem

Cuyahoga Falls, OH • On-site

Other

Posted 25 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 79 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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