Associate Data Engineer - Tech Catalyst Program
Company: The Hartford
Location: Charlotte, NC
Salary: $74,000 - $111,000 a year
Type: Full-time
Posted: 2026-04-21
About this role
Assoc Data Engineer - GE08BE
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.
The Hartford’s Tech, Data, Analytics and Cybersecurity organization is seeking recent college graduates to build careers in Data Engineering in Hartford, Connecticut and Charlotte, NC. In this role, associates will grow in the Data Engineering track, providing development support on The Hartford critical data assets. The Tech Catalyst program provides a period of instruction to develop critical functional skills in areas directly related to your role, to build skillsets needed to participate in the entire software development lifecycle process in support of information data projects and grow with emerging technologies and processes.
This role is a hybrid position located in Hartford, CT and Charlotte, NC. Candidates must be authorized to work in the US without company sponsorship now and in future.
Overall Knowledge
You must be a team player with a positive ‘can do’ attitude and possess the following qualities:
- Interest in data analytics, technology, and problem solving
- Excellent communication, analytical, interpersonal, and organization skills
- Ability to plan time and organize priorities, and pivot to changing priorities in a fast-paced environment
- Ability to self-learn new technologies
What’s in it for you in the multi-week learning experience?
- Participate in immersive instructor led training relative to data engineering and The Hartford’s best practices
- Partner with various parts of the organization to build a working knowledge of the organization, business, processes, and its customers
- Build and utilize data pipelines build using Python, ETL, PL/SQL and cloud native technologies to develop data assets that support organizational decis...