Associate Data Engineer - Tech Catalyst Program (Hartford)
The Hartford•Hartford, CT
•$74,000 - $111,000•Hybrid
About The Position
The Hartford’s Tech, Data, Analytics & Cyber organization is hiring early career data engineers who are passionate about turning data into actionable insights and business value. The Tech Catalyst Program is a structured, immersive experience designed to accelerate your development as a modern data engineer. You will gain hands-on experience building data products and pipelines while developing capabilities across data engineering, cloud platforms, and AI-enabled data systems. This program reflects our commitment to building a future-ready workforce—equipping early career talent with in-demand skills in data, cloud, and AI. This is a hybrid role based in Hartford, CT.
Requirements
- Bachelor’s degree (expected graduation: May 2027) in: Computer Science, Data Engineering, Data Analytics, Information Technology, Engineering, or related field
- Minimum GPA of 3.0 at time of graduation
- Authorization to work in the U.S. without sponsorship now or in the future
- Foundational experience with SQL and relational databases
- Foundational experience with at least one programming language (Python, Java, or R)
- Understanding of data structures, data modeling, and ETL/ELT concepts
- Exposure to data pipelines, data analysis, or data engineering concepts
Nice To Haves
- Experience with cloud platforms (AWS preferred; GCP or Azure helpful)
- Familiarity with data warehousing and big data tools (Snowflake, Hadoop, Spark)
- Exposure to data pipeline and orchestration tools
- Experience with APIs or distributed data systems
- Exposure to machine learning, data science, or AI-related coursework or projects
- Familiarity with business intelligence or analytics tools
Responsibilities
- Contribute to modern data engineering teams
- Design, build, and maintain scalable data pipelines and data products
- Develop ETL/ELT processes to ingest, transform, and curate structured and unstructured data
- Ensure data quality, reliability, and performance across data solutions
- Partner with data analysts, data scientists, and product teams to deliver business value
- Develop solutions using cloud-native data platforms (AWS, with GCP exposure for AI capabilities)
- Work with modern tools such as Snowflake, BigQuery, and cloud storage solutions
- Support data platform engineering, automation, and pipeline orchestration
- Contribute to data modernization initiatives, including migration to cloud environments
- Support AI/ML use cases by preparing and optimizing data for models
- Apply foundational understanding of machine learning workflows and supporting data pipelines
- Leverage AI-assisted tools (including Google Vertex) to enhance productivity and data solutions
- Build awareness of responsible AI, data ethics, and governance practices
- Collaborate with data scientists to operationalize machine learning solutions
- Translate business and analytical needs into scalable data solutions
- Communicate insights and technical concepts to diverse audiences
- Demonstrate adaptability and continuous learning across evolving tools and platforms
- Contribute to inclusive, collaborative, product-focused team environments
- Participate in a 10-week immersive onboarding and technical training experience
- Engage in continued capability-building focused on modern data engineering, cloud, and AI
- Gain hands-on delivery and exposure by being placed on Agile, product-aligned teams supporting enterprise data solutions
- Receive exposure to business-critical use cases across insurance and analytics domains
- Benefit from mentorship, coaching, and peer learning designed to accelerate development
- Build a strong internal network and long-term career path
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
