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

The Hartford; Columbus (OH); Hybrid; USD 28,000 - 41,000; Part time

Job summary

The Hartford is offering a Tech & Data Program Summer 2027 – Data Engineer Intern in Columbus, OH. This hybrid internship provides hands‑on experience building data pipelines, working with cloud platforms, and supporting analytics and AI initiatives within the insurance industry.

You will gain exposure to ETL/ELT, data transformation, data quality, and modern data engineering practices using Python, SQL, Snowflake, and GitHub.

Qualifications

• 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.

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.

Skills

Python

SQL

PL/SQL

Tools

Snowflake

GitHub

Tableau

Job description

Student Intern - HHSIAN

Tech & Data Program Summer 2027 – Data Engineer Intern

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.

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 Columbus, OH. 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

• 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 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

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short‑term or annual bonuses, long‑term incentives, and on‑the‑spot recognition. The annualized base pay range for this role is:

- Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Every day, a day to do right. Showing up for people isn’t just what we do. It’s who we are – and have been for more than 200 years. We’re devoted to finding innovative ways to serve our customers, communities and employees—continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever‑changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it’s these values that drive all of us to do more and to do better every day.

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