Guidewire Software

Senior Software Engineer, Analytics

Guidewire Software

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $148,000 - $222,000 per year

Job Level

Senior

Tech Stack

AirflowAmazon RedshiftAWSAzureCloudGoogle Cloud PlatformKafkaPostgresPythonScalaSparkSQLTerraform

About the role

  • Build an integrated, scalable, secure, and robust Analytics Platform to enable internal teams and customers to leverage data for insights, decision making and innovation.
  • Architect and develop high-quality data assets for both product and AI/ML use cases.
  • Design and implement scalable data pipelines to enable self-service analytics, feature engineering and ML driven insights.
  • Develop data transformations and establish robust data models, ensuring high data quality and performance.
  • Implement DataOps best practices, including CI/CD pipelines for analytics, ensuring data reliability through automated testing and documentation.
  • Ensure compliance with evolving data protection regulations, maintaining data security and privacy.
  • Mentor team members to enhance their skills and improve team performance.
  • Promote trust in data quality and implement tools to meet regulatory and business needs.
  • Present deep dives on both technical and product-related aspects to stakeholders.

Requirements

  • 8+ years of experience in Data Engineering or Analytics Engineering
  • At least 3+ years of hands-on experience designing and implementing large-scale data and ML pipelines
  • Prior experience working with cloud native data solutions on AWS, GCP or Azure
  • Proficiency in SQL
  • Proficiency in at least one data engineering language (Python/Scala)
  • Experience in ML feature engineering and collaboration with ML engineers & Data Scientists
  • Strong working experience with modern data engineering stack (Spark, dbt, Feast, Airflow, MLflow, Containers, Iceberg etc.)
  • Excellent communication skills
  • Strong understanding of data management concepts (modeling, warehousing, governance)
  • Hands-on experience with relational (PostgreSQL) and columnar (Redshift, etc.) databases
  • Experience with source control like Git, Infrastructure as Code (Terraform) and CI/CD for data workflows
  • Solid problem-solving and troubleshooting capabilities
  • Demonstrated ability to embrace AI and apply it to your role
  • Nice to have: Experience in event-driven architectures (Kafka, AWS Event Bridge/SQS, Kinesis)
  • Nice to have: Understanding of Data Mesh principles and decentralized data ownership
  • Nice to have: Proven ability to influence technical direction in large organizations
Benefits
  • All full-time positions or part-time roles working 30 hours or more a week at Guidewire are eligible for benefits that support their health and well-being including health, dental, and vision insurance, paid time off, and a company sponsored retirement plan.
  • In addition, some roles may be eligible for the annual company bonus plan, commissions, and/or long term incentive awards which are contingent on a variety of factors including, but not limited to, company and employee performance.
  • Disability Accommodations and Guidewire’s Appeals Process

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Data EngineeringAnalytics EngineeringSQLPythonScalaML feature engineeringData modelingData warehousingData governanceProblem-solving
Soft skills
Excellent communicationMentoringCollaborationInfluencing technical direction