Data Engineer – DataOps, Infrastructure Focus

🕒 May 6

🇺🇸 United States – Remote

💵 $124k - $186k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Guidewire Software

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2001

💰 $750k Series C on 2008-03

Software • Insurance • Cloud Computing

Guidewire Software is a leading provider of software solutions for the property and casualty (P&C) insurance industry. The company offers a comprehensive platform that includes core applications such as PolicyCenter, ClaimCenter, and BillingCenter, as well as advanced analytics and a robust cloud platform. Guidewire focuses on delivering digital transformations, improving operational efficiencies, and enhancing customer service for insurers globally. Through collaborations and partnerships, Guidewire supports a wide range of insurance products and services, including usage-based and embedded insurance. With its commitment to innovation and customer success, Guidewire continues to empower insurers to meet the evolving demands of the industry.

📋 Description

• Architect, automate, and maintain production-grade data infrastructure on AWS (e.g., S3, EMR, Glue, Lambda, Redshift) using Terraform or CDK, with a focus on high availability, security, and consistent environments across the SDLC. • Integrate Claude Code and other LLM-based agents into the engineering workflow to accelerate infrastructure provisioning, refactoring, and generation of technical documentation, embedding AI into daily development practices. • Design, build, and optimize CI/CD pipelines that test, deploy, and monitor dbt models and AWS Glue/Spark jobs, ensuring reliable, repeatable delivery of governed data assets. • Implement agentic operations for DataOps—configuring AI agents to triage and perform root-cause analysis of pipeline failures, surface cost-optimization signals, and proactively detect schema drift or data quality regressions. • Engineer scalable, well-governed data pipelines and tables using Apache Iceberg, Airflow (MWAA), and Redshift, emphasizing simplicity, reusability, and clear ownership of data products. • Operationalize security and compliance best practices in a regulated insurance environment, including IAM automation, encryption, audit-ready logging, and alignment with enterprise RBAC/MFA standards. • Partner with Product Strategy, PDO, and data science teams to ensure data platforms and features can support AI-heavy products like the Agentic AI Platform, Claim Summary, and Underwriting Assistant at scale.

🎯 Requirements

• 5+ years of experience in Data Engineering, Data Operations, or Platform Engineering building and operating cloud data infrastructure. • Deep proficiency with AWS (e.g., S3, EMR, Glue, Lambda, Redshift) and infrastructure-as-code (Terraform strongly preferred; CDK a plus), including designing secure, resilient architectures. • Strong experience with dbt in production (modeling, testing, documentation, deployment) and modern table formats such as Apache Iceberg for large-scale analytics. • Advanced SQL skills (performance tuning, complex joins and window functions) and solid Python experience for automation, orchestration, and data engineering tasks. • Hands-on experience with Apache Spark for large-scale batch or streaming workloads, ideally on AWS EMR or Glue. • Proven track record of building or maintaining CI/CD pipelines (Git-based workflows, automated testing, deployment, and monitoring) for data and analytics workloads. • Strong systems thinking and data modeling skills (e.g., Kimball, Data Vault) and familiarity with integrating RDBMS data via CDC patterns. • Clear, collaborative communication style with the ability to work across product, security, and business stakeholders in a distributed environment.

🏖️ Benefits

• Flexible work environment • Health and Wellness benefits • Paid time off programs including volunteer time off • Market-competitive pay and incentive programs • Continual development and internal career growth opportunities