

aKUBE
Senior Snowflake Data Engineer - Snowpark & ADF Migration
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Snowflake Data Engineer focused on Snowpark & ADF Migration, lasting 12 months with a pay rate up to $96/hr. Requires 5+ years in data engineering, strong Snowflake and Python skills, and Azure Data Factory experience. Hybrid location in Burbank, CA.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
768
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🗓️ - Date
May 23, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Burbank, CA
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🧠 - Skills detailed
#Data Engineering #Automation #Snowpark #Data Warehouse #EDW (Enterprise Data Warehouse) #Scrum #Data Pipeline #API (Application Programming Interface) #"ETL (Extract #Transform #Load)" #REST API #Python #Leadership #Azure #ADF (Azure Data Factory) #AI (Artificial Intelligence) #SQL (Structured Query Language) #Libraries #Migration #REST (Representational State Transfer) #Snowflake #Azure Data Factory #Scala #Agile #AWS (Amazon Web Services) #Data Layers
Role description
City: Burbank, CA
Onsite/ Hybrid/ Remote: Hybrid (4 days onsite per week, no flexibility)
Duration: 12 Months
Rate Range: Upto $96/hr on W2
Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B
Must Have:
• Snowflake
• Snowpark
• Python
• Advanced SQL
• Azure Data Factory
• ETL / ELT pipeline migration
• Snowflake Tasks and Streams
• Medallion Architecture (Bronze / Silver / Gold)
• REST API integration
• Agile / Scrum
Responsibilities:
• Migrate existing Azure Data Factory pipelines into native Snowflake solutions
• Analyze existing ADF pipeline logic and replicate workflows using Snowpark and Python
• Build native Snowflake pipelines using Snowpark libraries, Tasks, Streams, and SQL transformations
• Develop Python scripts and scheduled jobs directly inside Snowflake
• Optimize Snowflake warehouse sizing, compute usage, and job performance
• Support the transition from analytics-focused workflows into a scalable enterprise data warehouse platform
• Build and support Bronze, Silver, and Gold medallion data layers
• Join and transform data from multiple systems for reporting, KPIs, and analytics
• Work from clearly defined technical requirements and task assignments from engineering leadership
• Ensure secure, scalable, and performant Snowflake implementations
• Use AI-assisted development tools such as Cursor or Copilot to accelerate engineering delivery
Qualifications:
• 5+ years of hands-on Data Engineering experience
• Strong hands-on Snowflake experience in production environments
• Deep Snowpark experience including Snowpark libraries and native Snowflake processing
• Strong Python coding skills for data engineering and automation
• Advanced SQL experience including complex transformations and performance tuning
• Experience reviewing and translating Azure Data Factory pipeline logic into Snowflake-native solutions
• Experience with Snowflake warehouse optimization and cost management
• Experience building scheduled jobs, Tasks, and orchestration workflows inside Snowflake
• Experience with Medallion Architecture and enterprise data warehousing concepts
• Experience in Agile/Scrum delivery environments
• Ability to work independently in a task-oriented engineering role without ramp-up time
Nice to Have:
• Snowflake Cortex
• Cursor, Claude, or Microsoft Copilot experience
• AWS experience
• CI/CD pipelines for data engineering
• Snowflake Private Data Sharing
• Real-time or streaming data pipeline experience
City: Burbank, CA
Onsite/ Hybrid/ Remote: Hybrid (4 days onsite per week, no flexibility)
Duration: 12 Months
Rate Range: Upto $96/hr on W2
Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B
Must Have:
• Snowflake
• Snowpark
• Python
• Advanced SQL
• Azure Data Factory
• ETL / ELT pipeline migration
• Snowflake Tasks and Streams
• Medallion Architecture (Bronze / Silver / Gold)
• REST API integration
• Agile / Scrum
Responsibilities:
• Migrate existing Azure Data Factory pipelines into native Snowflake solutions
• Analyze existing ADF pipeline logic and replicate workflows using Snowpark and Python
• Build native Snowflake pipelines using Snowpark libraries, Tasks, Streams, and SQL transformations
• Develop Python scripts and scheduled jobs directly inside Snowflake
• Optimize Snowflake warehouse sizing, compute usage, and job performance
• Support the transition from analytics-focused workflows into a scalable enterprise data warehouse platform
• Build and support Bronze, Silver, and Gold medallion data layers
• Join and transform data from multiple systems for reporting, KPIs, and analytics
• Work from clearly defined technical requirements and task assignments from engineering leadership
• Ensure secure, scalable, and performant Snowflake implementations
• Use AI-assisted development tools such as Cursor or Copilot to accelerate engineering delivery
Qualifications:
• 5+ years of hands-on Data Engineering experience
• Strong hands-on Snowflake experience in production environments
• Deep Snowpark experience including Snowpark libraries and native Snowflake processing
• Strong Python coding skills for data engineering and automation
• Advanced SQL experience including complex transformations and performance tuning
• Experience reviewing and translating Azure Data Factory pipeline logic into Snowflake-native solutions
• Experience with Snowflake warehouse optimization and cost management
• Experience building scheduled jobs, Tasks, and orchestration workflows inside Snowflake
• Experience with Medallion Architecture and enterprise data warehousing concepts
• Experience in Agile/Scrum delivery environments
• Ability to work independently in a task-oriented engineering role without ramp-up time
Nice to Have:
• Snowflake Cortex
• Cursor, Claude, or Microsoft Copilot experience
• AWS experience
• CI/CD pipelines for data engineering
• Snowflake Private Data Sharing
• Real-time or streaming data pipeline experience




