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

4 Days Ago
Hybrid
2 Locations
124K-280K Annually
Senior level
124K-280K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads global teams developing production AI, GenAI, RAG, agentic workflow, and MLOps solutions for health systems and health plans. Translates clinical, financial, and operational challenges into HIPAA-compliant use cases involving clinical decision support, population health, revenue cycle, research, and optimization. Oversees healthcare data science engagements, model governance, executive stakeholder communications, client delivery, and team development.
Top Skills: Anthropic ClaudeAws BedrockAws SagemakerAzure Health Data ServicesAzure Machine LearningAzure Openai ServiceChromaCi/CdDatabricksGitGoogle Vertex AiKerasLangchainLlamaindexMlopsNoSQLPandasPineconePythonRagScikit-LearnSemantic KernelSnowflakeSQLTransformers
2 Days Ago
Remote or Hybrid
United States
160K-200K Annually
Senior level
160K-200K Annually
Senior level
Artificial Intelligence • Information Technology • Generative AI • Big Data Analytics
Design, build, deploy, and optimize scalable AI and machine learning systems using large datasets. Develop predictive models, recommendation systems, personalization engines, forecasting solutions, generative AI applications, and production ML pipelines. Collaborate with data, backend, and product teams to integrate models into applications, while monitoring performance, data quality, drift, reliability, and cost. Establish best practices for evaluation, experimentation, reproducibility, and deployment, and research emerging AI technologies.
Top Skills: Ai AgentsAirflowSparkAPIsAWSCi/CdDatabricksDeep LearningDockerEmbeddingsGCPLarge Language ModelsAzureMlopsNumpyPandasPythonPyTorchRagRelational DatabasesScikit-LearnSQLTensorFlowTransformer ArchitecturesVector Databases
8 Days Ago
In-Office
Chicago, IL, USA
117K-176K Annually
Senior level
117K-176K Annually
Senior level
Fintech • Payments • Financial Services
Design and maintain scalable cloud data pipelines, ETL processes, and data warehouse solutions supporting insurance actuarial pricing, reserving, and reporting. Lead adoption of AI, Generative AI, Agentic AI, RAG, automation, and modern cloud data technologies. Collaborate directly with actuarial customers, reconcile data, define technical solutions, mentor engineers, and modernize on-premises pipelines for cloud environments.
Top Skills: Agentic AiAutosysAWSCi/CdETLGenerative AiGitInformaticaInformatica IdmcModel Context Protocol (Mcp)OraclePythonRRetrieval Augmented Generation (Rag)SnowflakeSnowflake CortexSQL

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