Hybrid Data Application Engineer Intern - Summer 2027

Great American Insurance Group; Cincinnati (OH); Hybrid; USD 25,000 - 39,000; Part time

Job summary

Great American Insurance Group seeks a Data Application Development Intern for Summer 2027 in Cincinnati, OH. This hybrid, part-time role supports IT Services with hands-on coding, documentation, and testing activities, offering exposure to Java, Python, C#, and JavaScript in a real-world insurance tech environment.

The internship emphasizes collaboration, learning new technologies, and contributing to story-driven development while meeting deadlines and quality standards.

Qualifications

• Pursuing a degree in Computer Science, IT, Data Science, or related field.
• 2030 graduation year preferred.
• Proficiency in Java, Python, C#, or JavaScript.
• Familiarity with Git, Docker, and IDEs like VS Code or IntelliJ.
• Knowledge of HTML/CSS and web frameworks is a plus.
• Strong communication and teamwork skills.

Responsibilities

• Documentation management for project artifacts.
• Unit test development for new features and bug fixes.
• Enhancement development to meet evolving requirements.
• Code reviews to ensure code quality and standards.
• Maintain and update team documentation.
• Assist the team with code reviews and feedback.
• Develop stories contributing to the team's goals.

Skills

Java

Python

C#

JavaScript

Education

Pursuing degree in Computer Science / IT / Data Science

2030 graduation year preferred

Tools

Git

Docker

VS Code

IntelliJ

SpringBoot

React

Job description

Great American Insurance Group seeks a Data Application Development Intern for Summer 2027 in Cincinnati, OH. This hybrid, part-time role supports IT Services with hands-on coding, documentation, and testing activities, offering exposure to Java, Python, C#, and JavaScript in a real-world insurance tech environment.

The internship emphasizes collaboration, learning new technologies, and contributing to story-driven development while meeting deadlines and quality standards.