Job Description
What you’ll do
Contribute to data migration and transformation tasks for customer implementations on Guidewire Cloud, helping reduce effort and time to value in line with PS goals to significantly cut implementation effort and timelines.
Assist in designing, developing, and testing data pipelines and ETL/ELT processes using SQL and modern object-oriented programming languages (e.g., Java, Python, or similar).
Help analyze source and target schemas, perform data profiling, and document mapping rules that support accurate, high-quality conversions for P&C insurance data.
Support the implementation of data loading, validation, and reconciliation routines that enable trusted, production-ready data for our customers.
Collaborate with consultants, architects, and partner teams in an Agile environment—participating in stand-ups, story refinement, code reviews, and demos.
Contribute to reusable scripts, templates, and automation that make our Professional Services offerings more scalable and repeatable, aligning with PS priorities to industrialize and systematize services-led innovation.
Communicate clearly with mentors and stakeholders, sharing status, risks, and learnings, and help capture best practices and project documentation.
At Guidewire, we foster a culture of curiosity, innovation, and responsible use of AI—empowering our teams to continuously leverage emerging technologies and data-driven insights to enhance productivity and outcomes.
What you’ll bring
Required
Demonstrated ability to embrace AI and apply it to your current role as well as data-driven insights to drive innovation, productivity, and continuous improvement.
Currently in the final year of, or recently completed, a Master’s degree in Computer Science, Software Engineering, or a related technical field.
Proficiency in at least one modern object-oriented programming language such as Java or Python, with an interest in learning additional languages and tools as needed.
Working knowledge of SQL, including writing queries, joins, and basic optimization for data transformation and analysis.
Familiarity with at least one cloud platform (e.g., AWS, Azure, or GCP) and interest in learning how large-scale SaaS and cloud platforms operate.
Understanding of core software engineering practices such as Agile development, version control, and test-driven development.
Strong analytical, problem-solving, and documentation skills, with attention to detail and data quality.
Effective verbal and written communication skills, with the ability to work both independently and as part of a collaborative team.
Preferred
Experience with Scala or a strong interest in learning it for data engineering use cases.
Prior exposure to data engineering, ETL tools, or data integration projects (coursework, internships, or personal projects).
Familiarity with insurance, financial services, or other data-rich domains.
Comfort presenting your work to peers or stakeholders and leading portions of technical discussions.
Your Impact
We believe in clarity and setting you up for success. In your first weeks, you’ll onboard to Guidewire’s culture and Professional Services methods, learn how our P&C insurance platform works, and pair closely with your mentor on a real project in Exton, PA, while working a hybrid schedule. Over your first 6 months (including your internship), you’ll contribute to concrete deliverables—such as data mappings, transformation scripts, test cases, and automation—that help our team reduce implementation effort, shorten time to cloud adoption, and increase customer value realization, directly supporting Professional Services’ FY26 priorities for AI-enabled, efficient services execution. As you grow, your work will influence how insurers use trusted data to transform their businesses on Guidewire, strengthening our reputation as the industry’s standard platform for P&C insurance and advancing our broader mission to combine digital, core, analytics, and AI to transform how insurers operate.
What’s in it for you
The people we employ give their all, and in return, we offer flexibility wherever we can, such as:
Flexible work environment, including a hybrid schedule with in-office collaboration in Exton, PA.
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, including the Guidewire Basecamp experience for students and graduates.
All roles at Guidewire include a rich in-person orientation experience designed to connect you with our mission, culture, and teams from day one.
The US base salary range for this full-time position is $52,000 - $78,000 . Your base pay will depend on your experience, skills, education, training, and location among other factors. 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. 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.
