Lead Data Engineer

Snowflake Cortex AI 100% Remote FTE JD: Design and implement Snowflake Cortex AI use cases including Cortex Search, Cortex Analyst, and any Snowflake AI/LLM functions, while building semantic layers leveraging Snowpark, Python UDFs, and prompt engineering to optimize response quality Develop and maintain MCP (Model Context Protocol) server integrations with RBC Assist, including Active Directory (AD) configuration for secure authentication and authorization Address model governance and risk re

Role :Snowflake DeveloperRemote (EST / CST )Description: As a Snowflake Developer, you will play a crucial role in translating requirements into solutions on the Snowflake platform. Your expertise in Python coding, familiarity with visualization packages such as Shiny, Streamlit, or Superset, and ability to develop pipelines (ETL) will be essential. Your proficiency in SQL, AWS cloud services, and building/testing APIs will be key in building output datasets and visualizations for the client. I

Job Title: Data Scientist (Snowflake Cortex AI) Duration: Full-Time on W2 Location: 100% remote (DC/MD/VA preferred) Experience: 6+ years We are looking for an experienced Data Scientist / ML Engineer with strong hands-on experience in Snowflake Cortex AI and/or Snowpark ML. Key Qualifications: * Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field * 6+ years of hands-on Data Science / Machine Learning experience * Proven experience deploying ML models

Required SkillsCore PlatformsSnowflake (5+ years hands-on): Architecture, virtual warehouses, Snowpipe, Streams & Tasks, Time Travel, cloning, secure data sharing, semi-structured (VARIANT/JSON) handling, stored procedures, performance and cost optimization. MongoDB (3+ years hands-on): Data modelling, indexing strategy, aggregation framework, replication/sharding concepts, backup/restore, performance tuning, Atlas or self-managed operations. Technical CapabilitiesLanguages: Advanced SQL and Pyt