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Data Modeler - 100% Remote

Roles & Responsibilities

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
  • 5+ years of experience as a Data Modeler or Database Developer in the Property and Casualty insurance industry
  • Strong expertise in data modeling techniques and tools such as ER/Studio, ERwin, or similar
  • Proficiency in SQL and experience with relational databases (e.g., SQL Server, Oracle, PostgreSQL)

Requirements:

  • Shape and optimize data architecture for the Property and Casualty insurance domain to enable efficient data management and data-driven decision making
  • Apply data modeling techniques and tools (e.g., ER/Studio, ERwin) to design robust data models and support data governance and quality assurance
  • Translate business requirements into technical data models and collaborate effectively with both technical and non-technical stakeholders
  • Work with data integration processes and ETL tools to support data flows and stay current with emerging trends in data modeling and insurance technology

Job description


Data Modeler - 100% Remote
Position Type Contract
Rate - DOE

US Citizens and those authorized to work in the U.S are encouraged to apply. We are unable to sponsor at this time.

We are seeking a skilled and experienced Data Modeler with a background in Property and Casualty (P&C) Insurance. As a Data Modeler, you will play a critical role in shaping and optimizing our data architecture, ensuring efficient data management, and supporting data-driven decision-making processes within the P&C insurance domain.
  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • 5+ years of experience as a Data Modeler or Database Developer in the Property and Casualty insurance industry.
  • Strong expertise in data modeling techniques and tools, such as ER/Studio, ERwin, or similar.
  • Proficiency in SQL and experience with relational databases (e.g., SQL Server, Oracle, PostgreSQL).
  • Knowledge of insurance industry concepts, including policy management, claims processing, underwriting, and risk assessment.
  • Familiarity with data integration processes and ETL tools.
  • Excellent problem-solving skills and the ability to translate business requirements into technical solutions.
  • Good communication skills to collaborate effectively with both technical and non-technical stakeholders.
  • Experience with data governance, quality assurance, and best practices.
  • Knowledge of emerging trends in data modeling and insurance technology is a plus.

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