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Guidewire Data Engineer

  • Full Time, onsite
  • Stellar IT Solutions
  • Remote On Site, United States of America
Salary undisclosed

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Job Title: Guidewire Data Engineer

Interview: 2 Step, ASAP

Job Duration: Long Term

Job Location: Richmond, VA(Remote)



Job Overview:

We are seeking a highly skilled Senior Data Engineer with deep experience in Guidewire, Azure, and Databricks, within the Property & Casualty (P&C) insurance domain. This role involves supporting the launch of a new workstream within a Guidewire DataMart ecosystem and collaborating with cross-functional teams including BSAs and Technical Analysts.

Candidates with a consulting background and strong problem-solving skills will excel in this role.

Key Responsibilities:

  • Architect and develop scalable data pipelines and ETL processes within Azure and Databricks environments.
  • Build and maintain a Guidewire DataMart for reporting and analytics use cases.
  • Collaborate with Business Systems Analysts (BSA) and Technical BSAs to translate business requirements into technical solutions.
  • Ensure high data quality, performance, and governance across the platform.
  • Integrate data from various sources including Guidewire applications and insurance-specific datasets.
  • Implement data streaming and real-time processing solutions using Azure Stream Analytics, Kafka, Kinesis, or similar.

Required Skills & Qualifications:

  • Proven experience with Guidewire data models and integrations Mandatory.
  • 5+ years of hands-on experience in Data Engineering roles.
  • Expertise in Azure Data Factory, Databricks, and Data Lake architecture.
  • Strong programming skills in Python for data manipulation and workflow automation.
  • Deep understanding of data modeling, transformation, and loading in insurance-specific environments.
  • Experience working in P&C insurance data landscapes policies, claims, billing, etc.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job

Job Title: Guidewire Data Engineer

Interview: 2 Step, ASAP

Job Duration: Long Term

Job Location: Richmond, VA(Remote)



Job Overview:

We are seeking a highly skilled Senior Data Engineer with deep experience in Guidewire, Azure, and Databricks, within the Property & Casualty (P&C) insurance domain. This role involves supporting the launch of a new workstream within a Guidewire DataMart ecosystem and collaborating with cross-functional teams including BSAs and Technical Analysts.

Candidates with a consulting background and strong problem-solving skills will excel in this role.

Key Responsibilities:

  • Architect and develop scalable data pipelines and ETL processes within Azure and Databricks environments.
  • Build and maintain a Guidewire DataMart for reporting and analytics use cases.
  • Collaborate with Business Systems Analysts (BSA) and Technical BSAs to translate business requirements into technical solutions.
  • Ensure high data quality, performance, and governance across the platform.
  • Integrate data from various sources including Guidewire applications and insurance-specific datasets.
  • Implement data streaming and real-time processing solutions using Azure Stream Analytics, Kafka, Kinesis, or similar.

Required Skills & Qualifications:

  • Proven experience with Guidewire data models and integrations Mandatory.
  • 5+ years of hands-on experience in Data Engineering roles.
  • Expertise in Azure Data Factory, Databricks, and Data Lake architecture.
  • Strong programming skills in Python for data manipulation and workflow automation.
  • Deep understanding of data modeling, transformation, and loading in insurance-specific environments.
  • Experience working in P&C insurance data landscapes policies, claims, billing, etc.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job