Snowflake Data Engineer

Snowflake Data Engineer

AI-enabled data workflows

Role & responsibilities

Snowflake & Data Engineering

• Design, develop, and optimize data solutions using the Snowflake Cloud Data Platform
• Implement and leverage Snowflake Intelligence capabilities for analytics and AI-driven insights
• Develop and optimize complex Snowflake SQL queries
• Design and maintain Snowflake stored procedures and Snowflake Scripting
• Ensure performance tuning, scalability, and cost optimization in Snowflake

Python, AI & LLM Integration

• Work with Python codebases that interact with LLMs (e.g., prompt handling, response processing, embeddings, inference workflows)
• Understand and refactor AI/LLM-driven Python logic that includes Snowflake SQL queries
• Convert Python-based business and AI logic into:
• Snowflake stored procedures, and/or
• Snowflake-native implementations using supported frameworks (e.g., Snowflake Scripting, Snowpark)
• Validate functional accuracy of AI outputs after conversion or refactoring
• Handle prompt orchestration, data pre/post-processing, and AI inference workflows

Streamlit & UI Development

• Develop Streamlit applications for AI-driven dashboards, data exploration, and insights
• Integrate Streamlit UI with Snowflake and AI/LLM workflows
• Build intuitive interfaces for interacting with AI-generated results (summaries, recommendations, insights)
• Ensure secure and performant UI design

Collaboration & Best Practices

• Collaborate with data scientists, AI engineers, and business stakeholders
• Document AI logic, data flows, and Snowflake implementations clearly
• Follow best practices for version control, testing, and deployment
• Support production deployments and troubleshooting of AI-enabled data solutions

Preferred candidate profile

• 3- 5 years of experience

  in Data Engineering
• Strong hands-on experience with

  Snowflake

• Experience working with

  Snowflake Intelligence