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

thehartford; Chicago (IL); Hybrid; USD 36,000 - 51,000; Full time

Job summary

The Hartford in Chicago offers a hybrid Data Engineer Intern role as part of Tech & Data Program Summer 2027. You will help build and support data pipelines, data platforms, and AI-driven insights to power analytics and decision-making.

The program emphasizes learning, mentorship, and cross-functional collaboration, with hands-on experience in Python, SQL, Snowflake, cloud platforms, and data quality practices.

Qualifications

• Undergrad/grad student graduating May 2028, in STEM field.
• Strong analytical, problem-solving, and communication skills.
• Curiosity and willingness to explore new technologies.

Responsibilities

• Build and support data pipelines that ingest, transform, and prepare data for business use.
• Work with structured and unstructured data to enable analytics and AI-driven solutions.
• Apply data engineering tools and cloud technologies to develop reliable data assets.
• Ensure data quality, profiling, validation, and monitoring activities.

Skills

Python

SQL

PL/SQL

Analytical thinking

Communication

Education

Bachelor's or Master's degree candidate

Tools

Snowflake

GitHub

Cloud platforms

Job description

Student Intern - HHSIAN

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

Tech & Data Program Summer 2027 - Data Engineer Intern

Program Overview

At The Hartford, we foster an inclusive and collaborative environment where every voice is valued and every idea can make an impact. Our culture is built on integrity, innovation, and a customer-first mindset. We believe in empowering employees to grow through continuous learning, mentorship, meaningful work, and opportunities to contribute to solutions that support our customers and business.

As a Data Engineer Intern , 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 role is ideal for students who are interested in building the systems behind the data - transforming raw information into reliable, usable data assets that help teams make better decisions.

Bring your curiosity, technical mindset, and willingness to learn. Your voice and perspective matter here.

About the Experience

The Hartford's Technology, Data, AI, and Operations organization offers an immersive summer internship program designed to help students explore career paths in technology, data engineering, cybersecurity, AI, analytics, data science, and technology operations within the insurance industry.

As part of The Hartford's growing investment in AI and advanced analytics, interns will explore how emerging technologies - including generative AI, machine learning, and automation - are transforming business operations, decision-making, and customer experience.

In this role, you will gain hands‑on experience supporting data solutions that help power business insights, analytics products, and future AI capabilities.

This role is a hybrid position in Chicago, IL. Candidates must be authorized to work in the US without company sponsorship now or in the future.

What You’ll Gain

• Hands‑on experience designing, building, and supporting data pipelines and data workflows
• Exposure to modern data engineering practices , including ETL/ELT, data transformation, data quality, and cloud‑based data platforms
• Opportunities to work with tools and technologies such as Python, SQL, PL/SQL, Snowflake, GitHub, and cloud platforms
• Exposure to how data engineering enables analytics, reporting, automation, machine learning, and AI use cases
• 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

Ways You’ll Learn, Grow, and Contribute

Depending on your role and project assignments, your experience may include:

• 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

Required Qualifications

• 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

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 i