We’ve refined the requirements to include additional technical expertise in PySpark, Snowflake Cortex AI, and modern Data Warehousing practices. Additionally, candidates with recent hands-on experience in React.js will be highly advantageous. The revised JD is included below and has also been updated in GH.
Job Requirements – Senior Snowflake Data Engineer
7+ years of experience in data engineering or backend development roles
Strong hands-on experience with Python, PySpark, and Snowflake
Proven expertise in Snowflake data modeling, performance tuning, and optimization
Experience working with Snowflake Cortex AI or similar AI-enabled data platform capabilities
Solid understanding of modern data warehousing concepts (dimensional modeling, ELT/ETL, data marts, optimization strategies)
Advanced SQL skills and experience designing scalable data models
Experience delivering end-to-end data engineering solutions in cloud-based environments
Working knowledge of React.js for building or supporting data-driven front-end applications
Strong understanding of distributed data processing frameworks
Experience with cloud platforms (AWS, Azure, or GCP)
Strong understanding of data security, governance, and compliance best practices
Proven ability to collaborate effectively with cross-functional teams in complex enterprise environments
Information
Locations Position Open to Only localsIndustry IT StaffingStatus OpenJob Age 30 Day'sCreated Date 02/13/2026No.of Positions 1Duration 12Zip Code
