Data Engineer

• Build, optimize, and maintain data models and data marts in Snowflake for ServiceCore and Docket
• Develop the foundational semantic layer that powers embedded reporting, dashboards, and ultimately AI/agentic use cases
• Implement scalable ELT/ETL pipelines, transformations, and data cleaning logic
• Partner with Data & Analytics leadership to define the canonical metrics and modeling standards used across products
• Work closely with Product, Engineering, and Customer Success to understand reporting use cases and map them to data models
• Support the upstream data needs for Sigma dashboards, customer-facing reporting, and internal analytics
• Develop and maintain clear documentation for tables, schemas, and transformations
• Monitor Snowflake performance and costs; tune queries, warehouses, and models as needed
• Contribute to testing, data quality checks, validation frameworks, and model observability
• Participate in code reviews, pairing sessions, and ongoing improvements to our data stack
• Help prepare the warehouse and semantic layer for future AI enablement, including structured outputs, embeddings-ready modeling, and feature tables
• Collaborate in planning, roadmap discussions, and architectural decisions as your expertise grows.

Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Junior Data Engineer