Sr Staff Data Engineer

Hartford Fire Insurance

Hartford, CT, US
Base: $135,040 - $202,560 annually; bonus/equity: ...
Hybrid (3 days in-office, tuesday through thursday)
5+ years data engineering experience
2+ years telematics driving data expertise
Aws and snowflake cloud platform proficiency
Hartford Fire Insurance is seeking a Sr Staff Data Engineer to enhance their personal insurance pricing through advanced data engineering frameworks, particularly focusing on telematics and third-party data integration. The ideal candidate will have extensive experience with data engineering tools and methodologies, as well as strong problem-solving and collaboration skills

Job Summary

  • The Personal Insurance Loss and Demand Modeling Team is seeking a skilled Sr Staff Data Engineer to position loss modeling frameworks for the future of personal insurance pricing.
  • Candidates will design and optimize ETL/ELT pipelines for large-scale datasets including telematics data while mentoring junior team members and promoting best practices.
  • This role offers a hybrid work schedule requiring presence in Hartford, CT or Charlotte, NC three days a week with an annualized base pay range of $135,040 to $202,560.

Matching Summary

Match Score: 85

Hartford Fire Insurance is seeking a Sr Staff Data Engineer to enhance their personal insurance pricing through advanced data engineering frameworks, particularly focusing on telematics and third-party data integration. The ideal candidate will have extensive experience with data engineering tools and methodologies, as well as strong problem-solving and collaboration skills.

Salary

Base: $135,040 - $202,560 annually; Bonus/Equity: Short-term or annual bonuses and long-term incentives available; Benefits: On-the-spot recognition and comprehensive perks package included

Skills & Requirements

Must-have

  • 5+ years data engineering experience
  • 2+ years telematics driving data expertise
  • AWS and Snowflake cloud platform proficiency
  • Python SQL PL/SQL programming skills
  • Informatica IDMC ETL tool experience
  • Agile Scrum Kanban methodology knowledge
  • DevOps CI/CD pipeline implementation

Nice-to-have

  • Lakehouse and Data Mesh architecture familiarity
  • Streaming technologies for near-real-time processing
  • AI solution leveraging Cloud modern solutions
  • Tableau and Power BI visualization expertise
  • Self-healing pipeline development capabilities
  • Strong critical thinking and problem-solving
  • Proactive mindset in fast-paced environments

Key Requirements

  • Bachelor's or master's degree in computer science
  • 5+ years experience in data analysis and transformation
  • 2+ years experience in event-level telematics data
  • 3+ years experience on AWS and Snowflake platforms
  • 3+ years experience with Informatica IDMC tools
  • 3+ years experience in Agile methodologies
  • 2+ years experience in DevOps pipelines

Work Rights

Not specified

Tailored Resume

Cover Letter