About The Position

The Hartford is hiring a Data Engineer Intern for its Summer 2027 Technology, Data, AI, and Operations internship program. The intern will help build and support data pipelines, platforms, and processes that enable analytics, reporting, automation, and AI-driven insights. The role offers hands-on experience supporting data solutions, working with data engineering practices and tools, and learning how data supports business decisions in the insurance industry. The position is hybrid in Charlotte, North Carolina, and candidates must be authorized to work in the United States without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. The program provides opportunities to explore technology and data career paths through meaningful project work, mentorship, coaching, feedback, self-directed learning, networking, volunteerism, and employee engagement. Depending on project assignments, the intern may work with structured and unstructured data, develop reliable data assets, and collaborate with teams delivering scalable solutions. High-performing interns may be considered for future full-time roles within The Hartford’s Technology & Data organization.

Requirements

  • Be an undergraduate or graduate student expecting to graduate in May 2028 with a bachelor's or master's degree and a GPA of 3.0 or higher.
  • Pursue a degree in Computer Science, Engineering, IT, Management Information Systems, Data Analytics, Applied Mathematics, or another STEM-related field.
  • Have strong analytical, problem-solving, and critical-thinking skills.
  • Have strong communication, collaboration, and interpersonal skills.
  • Demonstrate curiosity and willingness to explore new technologies and challenge assumptions.
  • Demonstrate the ability to analyze complex problems using structured thinking and logical reasoning.
  • Show commitment to ethical judgment, responsible data use, and understanding how technology decisions affect stakeholders and the business.
  • Have experience or exposure to some or all of the following: Python, SQL, PL/SQL; ETL/ELT, data pipelines, data transformation, data profiling, data quality, or data modeling; Snowflake, GitHub, relational databases, or data warehouse concepts; AWS, Azure, or Google Cloud; Tableau, dashboards, reporting, data mining, or business intelligence tools; AI/ML concepts, generative AI tools, LLMs, NLP, or an interest in building data foundations for AI-driven solutions; Agile teams, sprint delivery, or collaborative product-based work.
  • Be authorized to work in the United States without company sponsorship.

Responsibilities

  • Build and support data pipelines that ingest, transform, and prepare data for business and analytical use.
  • Work with structured and unstructured data to enable analytics, reporting, and AI-driven solutions.
  • Apply data engineering tools and techniques, such as Python, SQL, ETL processes, and cloud technologies, to develop reliable data assets.
  • Support data quality, consistency, and performance through profiling, validation, and monitoring activities.
  • Collaborate with cross-functional teams to deliver scalable data solutions that address business needs.
  • Leverage AI tools such as Copilot to enhance productivity and support data solutions for advanced analytics and machine learning.

Benefits

  • Mentorship, coaching, feedback, and self-directed learning opportunities.
  • Networking, volunteerism, and employee engagement experiences with peers and leaders.
  • Potential consideration for full-time roles within The Hartford’s Technology & Data organization for high-performing interns.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service