Senior AI Data Engineer (Hybrid) — Actuarial Analytics

The Hartford; Chicago (IL); Hybrid; USD 117,000 - 176,000; Full time

Job summary

The Hartford in Hartford, CT is seeking a Sr Data Engineer to help shape actuarial analytics by building modern data solutions, semantic layers, and AI-enabled insights for actuaries and business leaders.

You will partner with cross‑functional teams to design trusted data products and interactive analytics that surface trends and support pricing, reserving, underwriting, and portfolio decisions. This hands-on role emphasizes delivering scalable data assets.

Qualifications

• This role requires 5-7 years of data analysis, manipulation and development.
• 1-3 years of experience in the insurance or investment industry.
• Strong SQL skills and ETL design capabilities.

Responsibilities

• Build analytic-ready data assets and semantic layers for actuaries.
• Partner with actuarial and analytics teams to surface trends and enable AI‑enabled insights.
• Develop dashboards and data products to support pricing, reserving, underwriting, and portfolio decisions.

Skills

SQL

Data analysis

ETL

AI analytics

Semantic data modeling

Tools

ThoughtSpot

Snowflake

Semantic data layers

AI for analytics

Job description

The Hartford in Hartford, CT is seeking a Sr Data Engineer to help shape actuarial analytics by building modern data solutions, semantic layers, and AI-enabled insights for actuaries and business leaders.

You will partner with cross‑functional teams to design trusted data products and interactive analytics that surface trends and support pricing, reserving, underwriting, and portfolio decisions. This hands-on role emphasizes delivering scalable data assets.