Associate Data Engineer - Tech Catalyst Program
About The Position
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. In this multi-week learning experience, you will 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 using Python, ETL, PL/SQL and cloud native technologies to develop data assets that support organizational decision making via prototyping, data discovery, profiling, etc., and develop a network of associates to help grow your career and develop your talents.
Requirements
- Bachelor's degree – May 2026 graduates
- A cumulative GPA of 3.0 or higher (out of 4.0 scale) at the time of graduation
- Desired majors include, but are not limited to: Computer Science, Engineering, IT, Management Information Systems, Data Analytics, Applied Mathematics, and Business
- Programming experience in a college and group settings
- Knowledge of in SQL and at least one additional functional or object-oriented programming language such as R or Python
Nice To Haves
- Prior Data Analysis and/or Data Engineer competencies
Responsibilities
- Utilize tools such as Informatica, B2B, PL/SQL, Hadoop, etc… to develop data assets that support organizational decision making via prototyping, data discovery, profiling, etc.
- Leverage data mining and Business Intelligence tools to analyze large amounts of data identifying relationships and patterns within the data
- Solve a range of core business and technical questions through data analysis
- Engage in work that is guided by more senior members of the team
Benefits
- short-term or annual bonuses
- long-term incentives
- on-the-spot recognition
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
5,001-10,000 employees
