Senior Data Engineer – Guidewire & Generative AI (Remote)
Greater New York Insurance Companies
Edison (NJ)
On-site
USD 61,700 - 109,500
Full time
14 days+
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Benefits offered by this job
Annual discretionary bonus based on performance
Travel allowance for NJ and NY locations
Job summary
Greater New York Insurance Companies is looking for a Data Engineer to design, build, and maintain scalable data pipelines for analytics and Generative AI initiatives. This remote position requires experience in the insurance domain, particularly with Guidewire data models. You will be collaborating with analysts to deliver data solutions and ensure data integrity. The salary range is $61,700 - $109,500, with eligibility for annual bonuses based on performance.
Qualifications
5+ years of progressive work experience in IT or a related field required.
3+ years of experience in data engineering, particularly within insurance data models.
Proficient in Microsoft Azure services, including Azure SQL Database and Azure Data Lake Storage Gen2.
Responsibilities
Analyze integration and system requirements to design effective data solutions.
Develop and optimize ELT pipelines for a Delta Lakehouse platform.
Monitor pipeline performance and troubleshoot data issues.
Skills
Data Modeling
Collaboration with cross-functional groups
Strong analytical and problem-solving skills
Expertise in Azure Databricks
Experience using Guidewire CDA data model
Education
Bachelor’s degree in relevant field (computer science, data science, etc.)
Tools
Azure Databricks
Azure Data Factory
Apache Spark
Power BI
Job description
Greater New York Insurance Companies is looking for a Data Engineer to design, build, and maintain scalable data pipelines for analytics and Generative AI initiatives. This remote position requires experience in the insurance domain, particularly with Guidewire data models. You will be collaborating with analysts to deliver data solutions and ensure data integrity. The salary range is $61,700 - $109,500, with eligibility for annual bonuses based on performance.