Snowflake Data Engineer

Key responsibilities:

• Design, build, test, deploy, and maintain scalable data pipelines, transformations, and data models on Snowflake.
• Develop and productionize AI and machine learning solutions using Snowflake Cortex AI, including AI agents, retrieval and search experiences, and external-facing applications.
• Create, validate, version, and maintain semantic views and related business logic to support accurate, governed AI and analytics experiences.

Required experience:

• Prior hands-on experience as a Snowflake data engineer, AI engineer, or similar role delivering production solutions on Snowflake.
• Strong Snowflake SQL skills and demonstrated experience developing data pipelines, transformations, data models, and performance-tuned workloads.
• Experience building and maintaining applications or AI/ML solutions with Snowflake Cortex AI or comparable large language model and machine learning technologies.

What success looks like:

• Reliable, scalable data pipelines and data products move from development to production with strong quality and observability.
• AI agents and applications deliver accurate, governed, measurable value to internal users and external customers.
• Semantic views remain trusted, testable, and resilient as underlying data and business definitions evolve.