Data Engineer

Position: Data Engineer

Salary: $100,000 - 115,000 Bonus

Benefits: Competitive Healthcare Plans, 34 Days of PTO (Paid Time Off), Onsite Gym, Wellness Programs, 401(k) match, Life Insurance, etc.

Location: Orlando, FL (Onsite)

Job Summary

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Role

The Data Engineer will design, build, and maintain scalable data pipelines and platforms that support enterprise reporting, analytics, and data‑driven decision‑making. This role works closely with IT, data, and business teams to ensure data is accurate, accessible, secure, and ready for use across the organization. Here are a few reasons to apply:

• Outstanding benefits, including an onsite gym and 34 days of PTO.
  
  

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• Leadership invested heavily in both the business and its people, fueling continued growth.
• Brand new, state of the art office currently being built.
  
  

Key Responsibilities Of The Data Engineer

• Support and enhance the Guidewire Enterprise Data Warehouse, ensuring reliable and accurate data flows
• Design and implement on‑prem or cloud‑based data platforms, integrating Guidewire and other enterprise data sources
• Build and maintain ETL/ELT pipelines to ingest, transform, and optimize data
• Develop and maintain data models for reporting, analytics, and advanced use cases (AI/ML)
• Implement data governance, quality, security, and compliance best practices
• Enable self‑service analytics and real‑time data processing using modern data technologies
• Collaborate with IT, analytics, and business teams to translate data needs into technical solutions
• Mentor junior team members and contribute to data architecture and modernization initiatives
• Manage work through ticketing systems and contribute to project planning
• Support reporting requests and ad‑hoc analysis for leadership as needed
  
  

Preferred Experience Of The Data Engineer

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or related field
• 5 years of experience in data engineering, data architecture, or related roles
• Experience with Guidewire InsuranceSuite data models (PolicyCenter, BillingCenter, ClaimCenter) preferred
• Strong experience with Azure‑based data platforms and lakehouse architectures
• Proficiency in ETL/ELT tools (SSIS, Azure Data Factory) and SQL‑based databases
• Hands‑on experience with big data and streaming technologies (Databricks, Spark, Kafka, etc.)
• Familiarity with BI tools such as Power BI, Tableau, or Looker
• Working knowledge of data governance, security, and compliance frameworks
• Experience using Jira or similar ticketing systems
  
  

Bonus Experience Of The Data Engineer

• Experience with Data Mesh architectures
• Exposure to machine learning / MLOps
• Azure Data Engineer certification
  
  

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