The Hartford Financial Services Group, Inc. Logo

The Hartford Financial Services Group, Inc.

Sr AI Data Engineer

Posted One Month Ago
In-Office
Chicago, IL, USA
117K-176K Annually
Senior level
In-Office
Chicago, IL, USA
117K-176K Annually
Senior level
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.
The summary above was generated by AI
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

Similar Jobs

20 Days Ago
Hybrid
Senior level
Senior level
Financial Services
Leads architecture and hands-on development of scalable ML and generative AI platforms. Builds Python APIs and SDKs, Databricks data and ML workflows, agentic AI capabilities, model integrations, infrastructure automation, and CI/CD pipelines. Ensures reliability, monitoring, security, performance, and cost efficiency while mentoring engineers, partnering with data science and product teams, and establishing AI-assisted engineering quality standards.
Top Skills: Amazon EcsAmazon EksAPIsAWSCi/CdClaude CodeCloudwatchDatabricksDatadogDelta LakeDynatraceGenerative AiGithub CopilotLarge Language ModelsPythonSdksSnowflakeTerraform
Senior level
Energy
Leads the design, operation, optimization, and governance of cloud, data, and AI platforms. Responsibilities include performance monitoring, incident response, disaster recovery, infrastructure design, automation, CI/CD, Azure DevOps workflows, and Azure Machine Learning and AI Foundry deployment pipelines. The role also establishes operational standards, improves observability, manages complex troubleshooting, supports security controls, documents platform processes, and mentors junior engineers.
Top Skills: .NetAzure Ai FoundryAzure DevopsAzure Machine LearningBashCi/CdPowershellPython
One Month Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
118K-179K Annually
Senior level
118K-179K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Design, build, and operate production AI and data systems for marketing: LLM/agent orchestration, retrieval pipelines, data pipelines, CDP and warehouse architecture, automation of manual workflows, data quality and reliability, stakeholder collaboration, and mentoring. Ship production-grade Python and SQL solutions and evaluate/monitor AI systems.
Top Skills: Agent OrchestrationAPIsBigQueryClaude CodeCursorCustomer Data Platform (Cdp)Data WarehouseDatabricksDbtEltETLHightouchLlmsMarketing AutomationPythonRetrieval PipelinesSalesforceSegmentSnowflakeSQLWeb Analytics

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account