Tech & Data Program Summer 2027 – Data Engineer Intern (Charlotte)

The Hartford • Charlotte, NC

2d • Hybrid

About The Position

The Hartford is hiring a Data Engineer Intern for its Technology, Data, AI, and Operations organization as part of its Summer 2027 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 exposure to data engineering practices and tools, including ETL/ELT, data transformation, data quality, cloud platforms, Python, SQL, PL/SQL, Snowflake, and GitHub. Interns will work with data solutions supporting business insights, analytics products, and future AI capabilities, with mentorship, coaching, feedback, and learning opportunities. The position is hybrid in Charlotte, North Carolina. 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 internship is intended as a pipeline for future full-time opportunities, and high-performing interns may be considered for 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.
• Show curiosity and willingness to explore new technologies and challenge assumptions.
• Demonstrate the ability to analyze complex problems using structured thinking and logical reasoning.
• Commit to ethical judgment and responsible data use, and understand 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 interest in 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.

Nice To Haves

• Exposure to Python, SQL, or PL/SQL.
• Exposure to ETL/ELT, data pipelines, data transformation, data profiling, data quality, or data modeling.
• Exposure to Snowflake, GitHub, relational databases, or data warehouse concepts.
• Exposure to AWS, Azure, or Google Cloud.
• Exposure to Tableau, dashboards, reporting, data mining, or business intelligence tools.
• Familiarity with AI/ML concepts, generative AI tools, LLMs, or NLP, or interest in building data foundations that support AI-driven solutions.
• Exposure to Agile teams, sprint delivery, or collaborative product-based work.

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, including 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 development of 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 across the organization.
• Hands-on experience and exposure to data engineering practices, tools, and technologies.
• Potential consideration for future full-time roles for high-performing interns.

What This Job Offers

• Career Level: Intern