Data Engineer Intern - Build AI-Ready Data Pipelines

thehartford; Charlotte (NC); Hybrid; USD 28,000 - 41,000; Full time

Job summary

The Hartford in Charlotte, NC offers a Tech & Data Program Summer 2027 internship as a Data Engineer Intern. You’ll help build data pipelines, support analytics, and contribute to AI-enabled insights across the organization.

As part of a immersive summer program, you’ll gain hands-on experience with modern data engineering practices, cloud platforms, and collaboration with cross-functional teams, while developing technical skills and professional growth in a supportive environment.

Qualifications

• Undergraduate or graduate student graduating May 2028 with GPA 3.0+.
• Pursuing a degree in CS, Engineering, IT, MIS, Data Analytics, Applied Math, or STEM field.
• Strong analytical, problem-solving and communication skills.
• Curiosity to learn new technologies and challenge assumptions.
• Proficiency in Python, SQL, and PL/SQL.

Responsibilities

• Build and support data pipelines that ingest, transform, and prepare data for analytics.
• Work with structured and unstructured data to enable analytics, reporting, and AI solutions.
• Apply data engineering tools to develop reliable data assets and data quality.
• Collaborate with cross-functional teams to deliver scalable data solutions.
• Leverage AI tools to enhance productivity and support data solutions.

Skills

Python

SQL

PL/SQL

Data pipelines

Cloud platforms

ETL/ELT

Data modeling

Snowflake

Education

Bachelors or Masters in STEM

Tools

Snowflake

GitHub

Relational databases

Data warehouse concepts

Cloud platforms

Job description

The Hartford in Charlotte, NC offers a Tech & Data Program Summer 2027 internship as a Data Engineer Intern. You’ll help build data pipelines, support analytics, and contribute to AI-enabled insights across the organization.

As part of a immersive summer program, you’ll gain hands-on experience with modern data engineering practices, cloud platforms, and collaboration with cross-functional teams, while developing technical skills and professional growth in a supportive environment.