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Job Description
Sr Data Engineer, Agentic AI at Mainz Brady Group Sr Data Engineer, Agentic AI at Mainz Brady Group in Portland, Oregon Posted in 3 days ago.
Type:
full-time
Job Description:
Senior Data AI Engineer (Snowflake / Semantic Modeling / Agentic AI) We're looking for a Senior Data AI Engineer to help build the foundation for next-generation AI and analytics capabilities within a healthcare payer environment. This role will focus on designing Snowflake-based semantic data assets that power trusted analytics, natural language querying, and agentic AI-driven insights. The ideal candidate brings deep Snowflake expertise, strong semantic modeling experience, and a passion for building scalable data products that enable both business users and AI-powered solutions to access and understand data more effectively. What You'll Be Doing Design and implement scalable Snowflake data models and pipelines supporting analytics and Agentic AI initiatives Build and maintain bronze, silver, and gold data layers using medallion architecture principles Develop semantic views, business metrics, dimensions, and reusable data assets that support self-service analytics and natural language data access Partner with product, analytics, and engineering teams to translate business requirements into governed data products Optimize Snowflake performance, transformations, and data architecture for scalability and reliability Implement data quality validation, profiling, testing, and governance practices Support Snowflake Cortex-enabled analytics, semantic intelligence, and AI-assisted workflows Document semantic definitions, data lineage, and architectural standards Required Experience Healthcare or payer industry experience (member, claims, provider, quality, or reference data) Expert-level Snowflake SQL skills, including complex transformations, CTEs, advanced joins, and analytic/window functions Strong experience building Snowflake data solutions using medallion architecture (bronze, silver, gold) Hands-on semantic modeling experience including metrics, dimensions, grain, relationships, and semantic views Experience validating data quality, profiling datasets, and ensuring trustworthy business outputs Strong communication skills and ability to work cross-functionally with product, analytics, and engineering teams Preferred Experience Snowflake Cortex, semantic intelligence, or AI-enabled analytics solutions Agentic AI, natural language analytics, or AI-assisted engineering workflows dbt development and governed self-service analytics environments Python for automation, metadata processing, validation, or AI-related engineering initiatives Experience evaluating, troubleshooting, and optimizing AI agent performance This is an exciting opportunity to help shape the future of AI-powered analytics by building trusted semantic data foundations that support both business users and intelligent agent-driven solutions.
