Senior Software Engineer

Summary

Guidewire is widely recognized as the leading provider of software solutions for the property and casualty insurance industry. Our software empowers insurance companies to support their customers during their critical times – whether in response to natural disaster, an accident or emerging risks.

At Guidewire, we offer a dynamic work environment that combines excellent career opportunities, a rational and meritocratic company culture and high quality software products. Our commitment to innovation and thoughtful hiring has fostered a collaborative and engaging workplace.

We are seeking  an experienced Data professional to join our Analytics Platform team to build an integrated, scalable, secure, and robust Analytics Platform. This platform will enable both our internal teams and customers to leverage data for insights, decision making and innovation.

The Platform is designed to power Analytics, Data Science, and AI-driven applications, while being integrated foundationally across our broad product portfolio, to usher in a new era of analytic driven experiences, services, and insurance offerings for the P&C industry.

Job Description

Responsibilities:

• 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 and feature engineering and ML driven insights

• Develop data transformations and establish robust data models, ensuring high data quality, and performance in a fast pace environment

• Implement DataOps best practices, including CI/CD pipelines for analytics, ensuring data reliability through automated testing and documentation

• Contribute to data strategy by aligning technical decisions with long-term business needs

• 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

Qualifications

• 8+ years of experience in Data Engineering or Analytics Engineering, with 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, and 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, including but not limited to:

•  Spark, dbt, Feast, Airflow, MLflow, Containers, Iceberg etc

• Excellent communication skills, able to collaborate with both technical and non-technical teams.

• 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.

Nice to Have

• Experience in event-driven architectures (Kafka, AWS Event Bridge/SQS, Kinesis)

• Understanding of Data Mesh principles and decentralized data ownership

• Proven ability to influence technical direction in large organizations.
   

The US base salary range for this full-time position is $144,000 – $240,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Disability Accommodations and Guidewire’s Appeals Process. Guidewire provides accommodations to the hiring process to create a fair opportunity for candidates with disabilities to contend for open positions. Accommodation requests should be directed to [email protected]. If things do not go as hoped, we invite you to use our appeals process. Guidewire promises to independently review any denied accommodation and any decision not to offer you the position. The appeals process is the same in either case. Within five business days of receiving a notice of denial of an accommodation, or receiving a notice of your non-selection for a vacancy, e-mail [email protected] to make an appeal. Guidewire will assign a new decision-maker to review the request and/or hiring decision, who will then notify you in writing of a decision within 10 business days.

About Guidewire

Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire.

As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.

For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC.

Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it’s applicable to the position.