Javascript Developer For Training Ai Data Jobs in Connecticut

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.

Launch your career building scalable, intelligent data solutions powered by cloud and AI!

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.

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

Build cloud and platform capabilities

• 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

Apply AI and data-driven engineering

• 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

Deliver business impact while growing your capabilities

• 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

Structured learning and real-world application

• 10-week immersive onboarding and technical training experience
• Continued capability-building focused on modern data engineering, cloud, and AI

Hands-on delivery and exposure

• Placement on Agile, product-aligned teams supporting enterprise data solutions
• Exposure to business-critical use cases across insurance and analytics domains

Support and career growth

• Mentorship, coaching, and peer learning designed to accelerate development
• Opportunities to build a strong internal network and long-term career path

• Passionate about using data to drive business and customer outcomes
• Curious about emerging technologies including data platforms, AI, and cloud
• Adaptable and comfortable working in evolving, ambiguous environments
• Strong problem solver with data-driven thinking skills
• Effective communicator who collaborates well across teams

• 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
  • 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

• 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

• Designed to launch and accelerate early career data engineering talent
• Aligned to The Hartford's long-term data and technology strategy
• Focus on building in-demand skills across data engineering, AI, and cloud
• Strong emphasis on mentorship, inclusion, and career development
• Opportunity to contribute to data solutions that power enterprise decision-making

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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