Data Engineer - Guidewire

Requirements:

• We require a bachelors degree in Computer Science, Information Systems, Data Science, Mathematics, or a related discipline.
• We expect 5+ years of IT experience, including at least 3 years in data engineering.
• We require 2+ years of experience working with Guidewire data structures and insurance systems.
• We need experience in the Property & Casualty insurance industry.
• We require strong knowledge of data modeling, data integration, and enterprise data architecture.
• We expect hands-on experience with Azure Databricks, Azure Data Factory, Apache Spark, Delta Lake, Power BI, SQL, and relational databases.
• We seek experience designing and supporting large-scale data pipelines and analytical data platforms.
• We need familiarity with Azure data services, including storage, databases, security, and integration tools.
• We expect experience working in Agile environments and with CI/CD practices.
• We require strong analytical, troubleshooting, and problem-solving skills.
• We value excellent communication and collaboration abilities.
• Preferred: experience supporting Guidewire PolicyCenter and BillingCenter data environments.
• Preferred: familiarity with Guidewire canonical data models and insurance reporting datasets.
• Preferred: experience with data governance, metadata management, and data quality frameworks.
• Preferred: exposure to AI, machine learning, or Generative AI data initiatives.
• Preferred: experience with enterprise data lakehouse architectures.

Responsibilities:

• We design, develop, and maintain scalable ELT/ETL data pipelines for analytics and reporting.
• We build and optimize data solutions using Azure Databricks, Azure Data Factory, Apache Spark, and Delta Lake.
• We develop and maintain enterprise data models, data marts, and analytical datasets.
• We integrate and transform data from Guidewire and other operational business systems.
• We collaborate with business stakeholders, analysts, and technical teams to deliver data and reporting solutions.
• We support reporting and dashboarding initiatives using Power BI and related business intelligence tools.
• We monitor and improve data pipeline performance, reliability, and scalability.
• We troubleshoot production issues and perform root-cause analysis to address data quality and integration challenges.
• We implement data governance, security, and compliance standards across data platforms.
• We develop and maintain testing strategies to ensure data accuracy and reliability.
• We support enterprise AI and advanced analytics initiatives through data preparation, metadata management, and scalable data architecture.
• We mentor team members on data engineering best practices and insurance data concepts.

Technologies:

• AI
• Azure
• Business Intelligence
• CI/CD
• Databricks
• ETL
• Support
• Machine Learning
• Power BI
• SQL
• Security
• Spark
• Cloud
• LESS

More

We are seeking a Data Engineer - Guidewire to support enterprise reporting, analytics, and emerging AI initiatives. This on-site role requires attendance once a month for 3-4 consecutive days near Woodbridge, NJ. We offer comprehensive benefits to eligible employees, including medical, dental, and vision insurance, HSA, FSA, 401(k), and life, disability, and ADD insurance. Salaried employees receive paid time off, and hourly employees may receive paid sick leave where required. This position is not eligible for bonuses, incentives, or commissions.

last updated 43 week of 2026