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Data Engineering Summer Intern

Munich Reinsurance America, Inc
United States, Connecticut, Hartford
Feb 05, 2026

Empower yourself! Start building your career with a national industry leader!


Why intern at HSB? At Hartford Steam Boiler (HSB), a Munich Re company, you will learn what it is like to pursue a career at one of the world's largest reinsurance companies.
HSB's 11-week Graduate Summer Internship Program provides a well-rounded, engaging and enjoyable experience. Below are some of the key experiences and benefits you can expect.

Program Highlights

  • Gain hands on experience.
  • Meet and gain insights from the Senior Leadership Team as well as other leaders and professionals in the organization to develop lasting professional relationships.
  • Networking opportunities.
  • Hybrid work schedule to include working on-site in the office and working from home.
  • Participate in community outreach.
  • Opportunity to gain career advice and help you prepare for navigating your career search.
  • Learn about great careers within the insurance and the impact they make.
  • Potential full-time career opportunities after graduation.

As a valued intern within our team you will have the opportunity for frequent interaction across multiple functions of the organization and gain real life experience and perform meaningful work that will prepare you for the right start to your career!

This position will be responsible for supporting Data Engineering initiatives within the Advanced Analytics & AI division of HSB. The intern will assist in building and maintaining high-quality, analytics-ready datasets and help support the technical data environment used for analytical and machine learning model development.

The successful candidate will work closely with Data Engineers, Data Scientists, and IT partners to enhance data management capabilities, support analytics workflows, and contribute to model development, monitoring, and MLOps-related activities. Responsibilities may include preparing modeling datasets, integrate internal and external data sources, and supporting data pipelines used across analytics and AI use cases.

The role will provide hands-on exposure to modern data engineering tools and cloud-based analytics platforms, including working with structured and semi-structured data using SQL and Python.

This position is intended for a graduate student pursuing a degree in Business Intelligence, Analytics, Computer Science, Data Science, or a related field, and offers practical experience in enterprise-scale data and AI environments.

At The Hartford Steam Boiler, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.

We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. The work environment characteristics, and any physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice.

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