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Senior Insurance Data Specialist (SQL Developer) | Remote

Remote, USA Full-time Posted 2026-06-17

Our client, a leading P&C Insurance Company, is seeking a detail-oriented Senior Insurance Data Specialist (SQL Developer) | Remote to support the design, development, and optimization of data solutions within a Property & Casualty insurance environment. This individual will play a key role in building and maintaining data pipelines, data warehouse environments, and reporting systems that support underwriting, product, actuarial, and claims functions. The ideal candidate brings strong technical expertise in data engineering along with an understanding of insurance data, including policy, premium, and claims information. This role will contribute to enhancing data architecture, improving data quality, and enabling advanced analytics to support business performance and strategic decision-making. This is a fully remote position with a strong preference for the candidate to reside in either New Jersey, Pennsylvania, New York, Connecticut, or Massachusetts.

Responsibilities

  • Writing complex SQL queries to support ad hoc business requests
  • Partnering with teams across Underwriting, Claims, Finance, and Marketing
  • Supporting production data environments and troubleshooting issues
  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes for insurance data (policy, billing, claims, underwriting)
  • Build and support data warehouse solutions, including databases, data models, and reporting environments
  • Integrate data from multiple insurance systems including policy administration, claims, and third-party data sources
  • Develop and automate data processes with strong validation, reconciliation, and error-handling controls
  • Create and maintain reporting datasets, dashboards, and analytics tools to support underwriting performance, product analysis, and claims insights
  • Partner with underwriting, actuarial, product, and finance teams to understand data needs and deliver actionable insights
  • Support regulatory reporting, data governance, and compliance requirements within the insurance domain
  • Analyze data trends related to premiums, loss ratios, claims activity, and retention to support business decisions
  • Ensure data accuracy, consistency, and integrity across systems and reporting layers
  • Maintain metadata, data lineage, and technical documentation for insurance data assets
  • Support system enhancements, data migrations, and implementation of new insurance technologies
  • Monitor and troubleshoot production data processes and participate in on-call support as needed

Qualifications

  • 5+ years of experience in data engineering, data warehousing, or a related technical role
  • 2+ years of experience working with P&C insurance data, including policy, claims, billing, and underwriting datasets
  • Strong experience with ETL/ELT development and data pipeline architecture
  • Proficiency in SQL and experience with relational databases
  • Experience with cloud data platforms such as Snowflake, Databricks, or similar technologies
  • Familiarity with data visualization and reporting tools (Power BI, Tableau, etc.)
  • Understanding of insurance KPIs such as loss ratio, combined ratio, retention, and premium growth
  • Knowledge of policy administration systems and insurance data platforms preferred
  • Bachelor’s degree in Computer Science, Information Technology, Data Analytics, or a related field preferred
  • Strong analytical, problem-solving, and critical-thinking skills
  • Excellent written and verbal communication abilities
  • Ability to collaborate effectively with cross-functional teams across underwriting, actuarial, product, and IT

Salary & Benefits

  • $90,000 – $110,000 + Bonus (depending on experience)
  • Paid time off and company-recognized holidays
  • Performance-based annual incentive opportunity
  • Fully remote
  • Comprehensive health benefits package (Medical, Dental, Vision, Life)
  • 100% 401(k) employer match
  • Pension and profit-sharing benefits

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