Data Engineer (dataops & Infrastructure Focus)

Guidewire Software

Base: $124,000 - $186,000; bonus/equity: annual co...
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Aws cloud infrastructure architecture
Terraform or cdk infrastructure as code
Dbt production modeling and deployment
** Guidewire Software is seeking a Data Engineer with a focus on data operations and infrastructure to enhance their P&C insurance platform. The role involves designing and automating data infrastructure on AWS, leading DataOps practices, and collaborating across teams to support AI-driven products. **

Job Summary

  • You will architect and automate production-grade data infrastructure on AWS to support Guidewire's AI-first Product strategy.
  • The role involves integrating AI agents into engineering workflows to accelerate infrastructure provisioning and root-cause analysis of pipeline failures.
  • Guidewire offers flexible work environments, health benefits, and market-competitive pay ranging from $124,000 to $186,000.

Matching Summary

Match Score: 75

** Guidewire Software is seeking a Data Engineer with a focus on data operations and infrastructure to enhance their P&C insurance platform. The role involves designing and automating data infrastructure on AWS, leading DataOps practices, and collaborating across teams to support AI-driven products. **

Salary

Base: $124,000 - $186,000; Bonus/Equity: Annual company bonus plan and long term incentive awards available; Benefits: Health, dental, vision, paid time off, retirement plan

Skills & Requirements

Must-have

  • AWS cloud infrastructure architecture
  • Terraform or CDK infrastructure as code
  • dbt production modeling and deployment
  • Apache Iceberg table formats
  • CI/CD pipeline design for data
  • Apache Spark and Airflow orchestration
  • IAM automation and security compliance

Nice-to-have

  • Experience with Claude Code and LLM agents
  • MLOps platform experience including SageMaker
  • P&C insurance domain knowledge
  • Redshift performance tuning expertise
  • CDC patterns for RDBMS integration

Key Requirements

  • 5+ years in Data Engineering or Platform Engineering
  • Bachelor's or Master's degree in Computer Science or related field
  • Strong proficiency in Python and Advanced SQL

Work Rights

Not specified

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