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Staff Data Engineer - Insurance Data

Talent Matching Platform that partners with companies worldwide to connect top talent with opportunities through AI-driven job matching.
United States
Data
Staff Software Engineer
Remote
8+ years of experience
AI

Description For Staff Data Engineer - Insurance Data

Jobgether, a Talent Matching Platform leveraging AI for job matching, is seeking a Staff Data Engineer to spearhead their insurance data initiatives. This role combines technical leadership with hands-on development of data lakehouse solutions. The position requires expertise in designing scalable data pipelines and implementing robust data architectures while maintaining compliance with industry regulations. The ideal candidate will have 8+ years of experience in data engineering, with strong skills in SQL, Python, and cloud-based environments. They will lead data modeling for insurance-specific data, including claims, policies, and risk assessment. The role offers comprehensive benefits including competitive compensation, full healthcare coverage, 401(k) matching, flexible PTO, and remote work options across 40 U.S. states. This is an excellent opportunity for a senior data professional looking to make a significant impact in the insurance data space while leading and mentoring other engineers.

Last updated a month ago

Responsibilities For Staff Data Engineer - Insurance Data

  • Design and develop end-to-end data solutions within a modern lakehouse architecture (Databricks)
  • Lead data modeling for complex insurance data: claims, policies, pricing, risk, and renewals
  • Collaborate with product, engineering, BI, and business stakeholders on cross-functional data projects
  • Ensure data integrity, governance, and compliance with industry regulations
  • Mentor data engineers, review code and architecture, and champion documentation practices
  • Implement and maintain metadata catalogs, access controls, and audit processes to secure data pipelines

Requirements For Staff Data Engineer - Insurance Data

Python
  • 8+ years of experience in data engineering with expertise in SQL, Python, and cloud-based lakehouse environments
  • Deep understanding of data architecture, pipeline orchestration, and database design
  • Proven experience working with insurance or financial services data and designing custom data models
  • Ability to lead technical projects while aligning with business objectives and stakeholder needs
  • Strong communication and leadership skills, including mentorship and cross-team collaboration
  • Experience with data quality, testing standards, and compliance requirements in regulated industries
  • Familiarity with tools like Databricks, Airflow, and modern data orchestration frameworks

Benefits For Staff Data Engineer - Insurance Data

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
Education Budget
  • Competitive salary and equity packages
  • Medical, dental, and vision insurance
  • 401(k) with 4% company match
  • Flexible PTO plus 8 company-observed holidays
  • Paid parental leave: 14 weeks (birthing) / 8 weeks (non-birthing) at 100% salary
  • Home office setup reimbursement and remote flexibility across 40 U.S. states
  • Life, disability, and voluntary insurance options (accident, legal, pet, critical illness, etc.)
  • Professional development and continuing education support

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