Data Engineering Manager

February 4

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Guidewire Software

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Guidewire Software is a leading provider of technology solutions for property and casualty (P&C) insurance organizations. The company offers a comprehensive suite of applications designed to simplify core insurance processes such as policy administration, claims management, billing, and analytics. Through its cloud-based platform, Guidewire enables insurers to modernize their operations, enhance customer engagement, and drive business growth.

Data management and BI • Predictive Analytics • Risk Analysis • Cloud Platform • Cloud Ops

1001 - 5000 employees

Founded 2001

💳 Fintech

💰 $750k Series C on 2008-03

📋 Description

• Lead a small team of 5-7 data engineers to drive multiple simultaneous projects with a focus on data preparation and pipeline development for predictive modeling • Includes: Data interrogation, exploratory data analysis, profiling, and reconciliation • Data pipeline creation, revision and monitoring based on product manager and data scientist/actuarial input • Feature creation, initial testing, and ongoing management • Work collaboratively with other staff including product managers, data scientists, other data analysts, architects to solve problems, develop innovative approaches, and provide project status • Create and manage data assets, datasets, features, and code with a focus on simplicity, scalability, reusability, and clear documentation • Interface with larger Guidewire engineering team to align technologies, standards, and manage dependencies across teams • Additional work assignments not related to specific project work such as new feature development, external data research, providing user feedback on new products and tools under development

🎯 Requirements

• Bachelors or Masters degree or equivalent industry experience • Passion for solving complex data problems • 7-10+ years of relevant experience, including leadership of other data engineers • Advanced, hands on experience building predictive modeling datasets and features • Expert SQL skills, including advanced functions, table design, view creation, stored procedure and script design and coding, general performance tuning • Demonstrated experience working with Guidewire ClaimCenter and/or PolicyCenter data • Expert data profiling and analysis skills including statistical analysis • Extensive experience building ETL and ML data pipelines • In-depth knowledge of Python and PySpark • Deep experience with AWS data capabilities like Airflow, Glue, Redshift, EMR • Experience with developing and automating data quality monitoring • Experience with US/Canadian P&C standard lines of business • Experience with P&C policy administration and claims processing concepts • Exposure to and understanding of NLP and other ML techniques • Experience with AWS Sagemaker and Feature Store a bonus • Experience and skill in communicating insights derived from data to both technical and non-technical personnel • Ability to carry out projects and mentor a team with minimal direction • Self-motivated and detail-oriented with desire to solve problems

🏖️ Benefits

• Bonus • Equity • Benefits