Tech & Data Program Summer 2027 - Data Engineer Intern (Chicago)

The Hartford•Chicago, IL

12d•Hybrid

About The Position

We are seeking a motivated student to join our Tech & Data Program as a Data Engineer Intern for Summer 2027. This role is ideal for students interested in building the systems behind data, transforming raw information into reliable, usable data assets that help teams make better decisions. You will help build and support the data pipelines, platforms, and processes that enable analytics, reporting, automation, and AI-driven insights across the organization. This is a hybrid position located in Chicago, IL.

Requirements

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.
Pursuing a degree in Computer Science, Engineering, IT, Management Information Systems, Data Analytics, Applied Mathematics, or another STEM-related field.
Strong analytical, problem-solving, and critical thinking skills.
Strong communication, collaboration, and interpersonal skills.
Curiosity and willingness to explore new technologies and challenge assumptions.
Demonstrated ability to analyze complex problems using structured thinking and logical reasoning.
Commitment to ethical judgment, responsible data use, and understanding how technology decisions affect stakeholders and the business.
Candidates must be authorized to work in the US without company sponsorship now or in the future.

Nice To Haves

Experience and exposure to some or all of the following: Programming & Querying: Python, SQL, PL/SQL
Data Engineering: ETL/ELT, data pipelines, data transformation, data profiling, data quality, data modeling
Data Platforms & Tools: Snowflake, GitHub, relational databases, data warehouse concepts
Cloud Technologies: AWS, Azure, or Google Cloud
Analytics & BI: Tableau, dashboards, reporting, data mining, or business intelligence tools
AI & Emerging Technology: Familiarity with AI/ML concepts, generative AI tools, LLMs, NLP, or interest in building data foundations that support AI-driven solutions
Agile Ways of Working: 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 (e.g., Python, SQL, ETL processes, cloud technologies) to develop reliable data assets.
Ensure 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 (e.g., Copilot) to enhance productivity and support the development of data solutions that power 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
A stronger understanding of how data supports decision-making within the insurance industry
Opportunities to work with tools and technologies such as Python, SQL, PL/SQL, Snowflake, GitHub, and cloud platforms
Exposure to modern data engineering practices, including ETL/ELT, data transformation, data quality, and cloud-based data platforms
Hands-on experience designing, building, and supporting data pipelines and data workflows
Exposure to how data engineering enables analytics, reporting, automation, machine learning, and AI use cases
Short-term or annual bonuses
Long-term incentives
On-the-spot recognition