Sr AI Data Engineer

Posted Yesterday
4 Locations
In-Office
117K-176K Annually
Senior level
Fintech • Payments • Financial Services
The Role
Build modern data and AI analytics solutions using ThoughtSpot, Snowflake, semantic data layers, and governed data assets. Develop ETL processes, AI prompts, intelligent dashboards, and interactive analytics experiences for actuarial teams. Partner with business and analytics stakeholders to support pricing, reserving, underwriting, and portfolio decisions while surfacing trends, explaining business drivers, and enabling actionable recommendations.
Summary Generated by Built In
Sr Data Engineer - GE07BE

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.   

         

This is an opportunity to help shape the next generation of actuarial analytics. In this role, 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 partner closely with actuarial teams, business leaders, and analytics partners to design trusted data products, intelligent dashboards, and AI-enabled insight experiences that surface emerging trends, explain key business drivers, and support pricing, reserving, underwriting, and portfolio decisions. The ideal candidate is energized by solving complex data problems, experimenting with new technologies, and turning actuarial knowledge into scalable solutions that make insights easier to discover, understand, and act on.

You will serve as a hands-on builder and thought partner, helping develop analytic-ready data assets, governed semantic layers, AI prompts and context, and interactive analytics experiences that enable actuaries to identify opportunities, diagnose root causes, and deliver recommendations with greater speed, consistency, and confidence.

Qualifications:

  • Working experience with ThoughtSpot, Snowflake, semantic data layers, and AI for analytics or agentic data solutions

  • 5-7 years of data analysis, manipulation and development

  • 1-3 years of experience in the insurance or investment industry

  • Strong SQL skills

  • Property and Causality Domain expertise preferred

  • Ability to design, implement, and oversee ETL processes

  • Familiarity with emerging data centric technologies

  • Ability to choose and effectively utilize data wrangling technologies

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

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:

$117,200 - $175,800

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Skills Required

  • Working experience with ThoughtSpot, Snowflake, semantic data layers, and AI for analytics or agentic data solutions
  • 5-7 years of data analysis, manipulation, and development experience
  • 1-3 years of experience in the insurance or investment industry
  • Strong SQL skills
  • Property and causality domain expertise
  • Ability to design, implement, and oversee ETL processes
  • Familiarity with emerging data-centric technologies
  • Ability to choose and effectively utilize data wrangling technologies
  • Must be authorized to work in the United States without company sponsorship

The Hartford Financial Services Group, Inc. Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Hartford Financial Services Group, Inc. and has not been reviewed or approved by The Hartford Financial Services Group, Inc..

  • Retirement Support A 401(k) with matching plus an additional company contribution, alongside an employee stock purchase plan and no‑cost financial planning, signals robust long‑term savings support. HSAs/FSAs and related financial tools further strengthen overall financial well‑being.
  • Leave & Time Off Breadth At least 25 days of PTO to start, options to buy or roll over time, and paid parental leave indicate broad time‑off support. Paid leave for organ and bone marrow donation and generous disability coverage extend protection for significant life events.
  • Healthcare Strength Multiple medical, dental, and vision options with the company covering most medical and dental premiums reflect strong core health coverage. Wellness programs, fitness reimbursements, well‑being credits, and accessible behavioral health services expand depth and accessibility.

The Hartford Financial Services Group, Inc. Insights

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The Company
HQ: Hartford, Connecticut
20,002 Employees
Year Founded: 1810

What We Do

Human achievement is at the heart of what we do. We put our belief into action by not only ensuring individuals and businesses are well protected, but by going even further – making an impact in ways that go beyond an insurance policy

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