The Judge Group
Snowflake Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Snowflake Engineer for a hybrid position in Chicago, offering $75-80/hr. Requires 3+ years of Snowflake experience, proficiency in Python, AWS, and Azure services, and expertise in data ingestion and pipeline development. No third parties.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 18, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Chicago, IL
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🧠 - Skills detailed
#SQL (Structured Query Language) #Lambda (AWS Lambda) #Scala #Batch #Data Integration #Data Warehouse #Data Ingestion #"ETL (Extract #Transform #Load)" #API (Application Programming Interface) #Kafka (Apache Kafka) #S3 (Amazon Simple Storage Service) #AWS (Amazon Web Services) #Data Storage #SnowSQL #Cloud #Automation #Snowflake #Azure #Data Engineering #Data Pipeline #Programming #Databases #Storage #Data Processing #Python
Role description
Our client is looking for a Data Engineer with extensive Snowflake experience
This is a hybrid role in Chicago. NO THIRD PARTIES
Responsibilities
• Design and Develop effective Data load solution using Python, Kafka or other data integration methodologies
• Design, develop, and maintain scalable data pipelines using Snowflake as the core data warehouse platform
• Data load using Snowflake SQLs and stored procedures
• Leverage experience with both relational databases and SnowSQL databases for data storage and retrieval.
• Experience with cloud databases like AWS and Snowflake.
Qualifications
• 3+ years of hands-on experience with Snowflake data platform including advanced SQL, stored procedures, and performance optimization
• Strong experience with data ingestion patterns including bulk loading, micro-batching, and streaming data processing
• Proficiency with AWS services such as S3, Lambda, and CloudWatch Experience with Azure data services including Data Factory, Event Hubs, Blob Storage, and Azure Functions
• Solid Python programming skills for data processing, API integrations, and automation scripts
• Pay around 75-80/hr
Our client is looking for a Data Engineer with extensive Snowflake experience
This is a hybrid role in Chicago. NO THIRD PARTIES
Responsibilities
• Design and Develop effective Data load solution using Python, Kafka or other data integration methodologies
• Design, develop, and maintain scalable data pipelines using Snowflake as the core data warehouse platform
• Data load using Snowflake SQLs and stored procedures
• Leverage experience with both relational databases and SnowSQL databases for data storage and retrieval.
• Experience with cloud databases like AWS and Snowflake.
Qualifications
• 3+ years of hands-on experience with Snowflake data platform including advanced SQL, stored procedures, and performance optimization
• Strong experience with data ingestion patterns including bulk loading, micro-batching, and streaming data processing
• Proficiency with AWS services such as S3, Lambda, and CloudWatch Experience with Azure data services including Data Factory, Event Hubs, Blob Storage, and Azure Functions
• Solid Python programming skills for data processing, API integrations, and automation scripts
• Pay around 75-80/hr
