Snowflake AI Data Engineer

Requirements

• 8–10 Years
• Strong expertise in Snowflake Architecture, Security, Governance & Performance Optimization
• Hands-on experience with Snowflake Cortex AI, CoCO, CoCO Desktop, and Snowpark
• Experience building LLM, RAG, Vector Search, and Agentic AI Workflows
• Strong programming skills in Python, PySpark, and SQL
• Experience with Airflow, dbt, Apache Spark, and Kafka
• Cloud platform experience with AWS, Azure, or GCP
• Experience developing scalable ETL/ELT pipelines and real-time integrations
• Knowledge of Streamlit, Dynamic Tables, Snowpipe, and Snowflake Native Apps is a plus
• Strong customer-facing communication, solution architecture, workshops, PoCs, and production deployment experience
• Good to have: Linux, OpenShift, Kubernetes, Trino, Hive, Superset, and Agile Scrum

Schedule

• Onsite – 4 Days in Office
• Duration: 6 Months

How to apply

• Share your updated resume, current location, work authorization, availability, and confirmation of onsite availability in Las Vegas.

Location

• Las Vegas, NV