Data Engineering Intern - Summer 2027

Location & Schedule

In‑office position in Houston, Texas. Hybrid schedule: 4 days in the office. Summer 2027 internship runs from mid‑to‑late May through the beginning of August.

About the Company

Tokio Marine HCC (TMHCC) is a leading global specialty insurance group, backed by the strength and stability of the Tokio Marine Group. With more than 50 years of sustained growth and profitability, TMHCC offers over 100 classes of specialty insurance worldwide. The company’s “Mind Over Risk” philosophy emphasizes innovation, collaboration, and trust.

About the Role

The Data & AI Engineering Intern will work at TMHCC’s corporate headquarters in Houston, TX, gaining real‑world experience in data engineering, AI, and analytics. Interns will deliver projects with support from experienced engineers and project leaders.

Responsibilities

• Assist in designing, developing, testing, and enhancing internal applications using React, Node.js, and Python, following established engineering standards.
• Use AI coding assistants (e.g., GitHub Copilot) to accelerate code generation, debugging, documentation, testing, and refactoring while practicing responsible use.
• Develop and consume REST APIs and integrate applications with enterprise data platforms and services.
• Contribute to automated testing, code quality checks, and GitHub Actions CI/CD pipelines; participate in pull requests, code reviews, and controlled deployments.
• Participate in the Agile software development lifecycle, including requirements refinement, technical design, sprint activities, troubleshooting, documentation, and delivery of production‑quality features.

Requirements

• Minimum 60 completed credit hours from an accredited college or university.
• GPA of 3.0 or higher.
• Pursuing a degree in MIS, Computer Science, Information Technology, Computer Engineering, Artificial Intelligence, or a related field.
• Exposure to full‑stack development (JavaScript/TypeScript, React, Node.js, or Python) and basic web application architecture.
• Familiarity with generative AI tools such as GitHub Copilot and an interest in prompt‑driven development.
• Understanding of modern software engineering practices: Git/GitHub, APIs, automated testing, CI/CD, cloud development, or DevOps concepts (direct GitHub Actions experience is a plus).