The Guidewire Data Engineer will design schemas in Snowflake, develop ETL processes, optimize SQL queries, and integrate Guidewire with data platforms.
Company Description
Describe what makes your company great
Job DescriptionKey Responsibilities:
Snowflake Expertise:
- Design and develop schemas and data models within the Snowflake platform.
- Write and optimize complex SQL queries for data extraction and transformation.
Guidewire Claims Center:
- Apply hands-on experience with Guidewire Claims Center to support claims management workflows.
- Integrate Guidewire with data platforms to enable seamless data exchange.
ETL/ELT Processes:
- Utilize ETL/ELT tools (e.g., Apache Nifi, Talend, dbt) to design and execute efficient data transformation and loading processes.
Data Warehousing:
- Build and optimize cloud-based data warehouses for scalable storage and analytics.
SQL and Data Querying:
- Write advanced SQL queries for data aggregation, reporting, and analysis.
Cloud & Data Integration:
- Leverage cloud platforms (AWS, Azure, GCP) to enable system connectivity and data synchronization.
All your information will be kept confidential according to EEO guidelines.
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Architect and own marketing data infrastructure, Databricks pipelines, Gold Layer tables, semantic models, and AI-enabled data products. Lead complex cross-team initiatives, translate ambiguous business needs into scalable solutions, ensure data quality and reliability, and mentor engineers and analysts. Build, evaluate, and monitor production LLM and agent systems while automating marketing and go-to-market workflows with AI. Partner with BI, Data Science, Marketing, Sales, and R&D teams to support self-service analytics and trusted business KPIs.
Top Skills:
Ai AgentsBigQueryClaude CodeCursorData WarehousesDatabricksDbtEltETLLakehouse ArchitecturesLlmsPythonSalesforceSemantic LayersSnowflakeSQLStreamlit
An Hour Ago
Easy Apply
Easy Apply
Big Data • Fintech • Mobile • Payments • Financial Services
Leads Marketing and Consumer Privacy Engineering teams, developing engineers and establishing a shared operating model. Translates business and product priorities into engineering plans across logged-out web, experimentation, marketing integrations, attribution, measurement, consent, privacy experiences, and consumer data collection. Partners with Product, Marketing, Privacy, Legal, and Engineering stakeholders to deliver reliable, scalable, privacy-aware systems while balancing customer needs, quality, speed, and risk.
Top Skills:
AnalyticsAttributionAustralian Privacy ActCcpa/CpraConsent ManagementCookiesGdprInstrumentationMarketing TechnologyMeasurement SystemsTaggingWeb Experimentation
Agency • Digital Media • Legal Tech • Marketing Tech • Social Media • SEO
Own a portfolio of clients to maximize retention and growth: run client calls, analyze lead and performance data, spot retention risks and upsell opportunities, coordinate internal teams to deliver on strategy, and contribute process and AI-driven improvements to internal systems.
What you need to know about the Calgary Tech Scene
Employees can spend up to one-third of their life at work, so choosing the right company is crucial, not just for the job itself but for the company culture as well. While startups often offer dynamic culture and growth opportunities, large corporations provide benefits like career development and networking, especially appealing to recent graduates. Fortunately, Calgary stands out as a hub for both, recognized as one of Startup Genome's Top 100 Emerging Ecosystems, while also playing host to a number of multinational enterprises. In Calgary, job seekers can find a wide range of opportunities.



