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

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

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

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

Our internship program is designed as a pipeline for future full-time opportunities. High-performing interns may be considered for full-time roles within The Hartford’s Technology & Data organization.