Associate Data Engineer - Tech Catalyst Program

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 decision making via prototyping, data discovery, profiling, etc.
• Develop a network of associates to help grow your career and develop your talents

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

Qualifications

• 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
• Desired candidates have prior Data Analysis and/or Data Engineer competencies
• 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
• Possess the technical, analytical and communication skills to solve problems, create technical solutions and tell the story about how your work enables the business in addressing our customer needs

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

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