Senior AI Data Engineer for Actuarial Analytics | Hybrid

The Hartford

Columbus (OH)

Hybrid

USD 117,000 - 176,000

Full time

48 hours ago
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Benefits offered by this job

Hybrid work schedule
Competitive compensation

Job summary

The Hartford is seeking a Sr Data Engineer to shape the next generation of actuarial analytics. You will build modern, agentic data solutions that combine ThoughtSpot, Snowflake, semantic data assets, and AI-powered analytics to help actuaries move faster from data to insight to action.

You will work as a hands-on builder and thought partner, developing analytic-ready data assets, governed semantic layers, AI prompts, and interactive analytics experiences that enable actuaries to identify

Qualifications

  • Experience with ThoughtSpot and Snowflake for analytics.
  • Experience building semantic data layers for analytics.
  • Hands-on data analysis, manipulation and development (5-7 years).
  • 1-3 years in insurance/investment domain preferred.
  • Strong SQL skills required.
  • Experience designing, implementing ETL processes.
  • Knowledge of emerging data-centric technologies.
  • Ability to select and use data wrangling tools effectively.

Responsibilities

  • Build analytic-ready data assets and governed semantic layers.
  • Develop AI prompts and context for analytics experiences.
  • Create interactive analytics to surface trends and support decisions.
  • Partner with actuarial teams to design trusted data products and dashboards.
  • Guide pricing, reserving, underwriting, and portfolio decisions.

Skills

ThoughtSpot
Snowflake
Semantic data layers
AI for analytics
SQL
ETL processes
Data wrangling
Emerging data tech

Job description

The Hartford is seeking a Sr Data Engineer to shape the next generation of actuarial analytics. You will build modern, agentic data solutions that combine ThoughtSpot, Snowflake, semantic data assets, and AI-powered analytics to help actuaries move faster from data to insight to action.

You will work as a hands-on builder and thought partner, developing analytic-ready data assets, governed semantic layers, AI prompts, and interactive analytics experiences that enable actuaries to identify

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