Data Engineering Intern - Summer 2027

Tokio Marine HCC is a global specialty insurance group offering a broad range of specialty insurance products. The Data & AI Engineering Intern will gain practical experience in data engineering, artificial intelligence, analytics, and software development while contributing to internal applications, integrations, testing, CI/CD, and agile delivery.

What you'll do:

• **Application Development** – Assist in designing, developing, testing, and enhancing internal applications using React, Node.js, and Python, following established engineering standards and development patterns
• **AI-Assisted Software Engineering** – Use approved AI coding assistants/Copilots to accelerate code generation, debugging, documentation, testing, and refactoring while learning appropriate validation and responsible-use practices
• **API & Data Integration** – Develop and consume REST APIs and integrate applications with enterprise data platforms and services, gaining experience with how applications interact with data engineering ecosystems
• **Testing, CI/CD & DevOps** – Contribute to automated testing, code quality checks, and GitHub Actions CI/CD pipelines, including participating in pull requests, code reviews, and controlled application deployments
• **Agile Team Delivery** – Participate in the team’s software development lifecycle, including requirements refinement, technical design, sprint activities, troubleshooting, documentation, and delivery of production-quality application features

What they're looking for:

• Minimum 60 complete hours from an accredited college or university
• Grade point average (GPA) of 3.0 or higher
• Pursuing a degree in MIS, Computer Science, Information Technology, Computer Engineering, Artificial Intelligence, or related field
• Academic, project, internship, or personal-project exposure to JavaScript/TypeScript, React, Node.js, or Python and an understanding of basic web application architecture
• Exposure to GitHub Copilot or similar generative AI development tools, including an interest in prompt-driven development and understanding how generated code should be reviewed and validated
• Familiarity with Git/GitHub, APIs, automated testing, CI/CD, cloud development, or DevOps concepts; direct GitHub Actions experience would be beneficial but not required

Benefits:

• Hybrid schedule, 4 days in office
• Real-world experience in data engineering, AI, and analytics
• Support from experienced engineers and project leaders