JBS Technologies Inc
Lead Snowflake Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Snowflake Data Engineer with a contract length of "unknown." The pay rate is "unknown," and it requires strong expertise in Snowflake, Python, PySpark, and advanced SQL, along with 10+ years of data engineering experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 28, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York City Metropolitan Area
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🧠 - Skills detailed
#Data Warehouse #Data Processing #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #Data Modeling #Spark (Apache Spark) #Snowflake #Python #PySpark #SQL (Structured Query Language) #Data Engineering #Data Pipeline
Role description
• 10+ years of experience in data engineering or equivalent ownership of production systems
• Deep expertise in Snowflake (data modeling, performance tuning, optimization)
• Strong experience with Python, PySpark, and advanced SQL
• Proven ownership of end-to-end data pipelines (ingestion → transformation → consumption)
• Experience designing modern data warehouse architectures (ELT, dimensional modeling)
• Strong understanding of distributed data processing and large-scale systems
• Experience with Snowflake Cortex AI or similar AI-driven capabilities preferred
• Ability to explain and defend architecture decisions and trade-offs
• 10+ years of experience in data engineering or equivalent ownership of production systems
• Deep expertise in Snowflake (data modeling, performance tuning, optimization)
• Strong experience with Python, PySpark, and advanced SQL
• Proven ownership of end-to-end data pipelines (ingestion → transformation → consumption)
• Experience designing modern data warehouse architectures (ELT, dimensional modeling)
• Strong understanding of distributed data processing and large-scale systems
• Experience with Snowflake Cortex AI or similar AI-driven capabilities preferred
• Ability to explain and defend architecture decisions and trade-offs
