Accelyst, LLC

Snowflake Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Snowflake Engineer with expertise in Cortex AI, Scientific Modeling, and Streamlit Apps development. Contract length is unspecified, with a pay rate of "unknown." Key skills include Snowflake administration, Python, SQL, and cloud platforms (AWS/Azure/GCP).
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 27, 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
United States
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🧠 - Skills detailed
#Data Architecture #AWS (Amazon Web Services) #Visualization #Monitoring #Security #AI (Artificial Intelligence) #Streamlit #Data Modeling #SQL (Structured Query Language) #GCP (Google Cloud Platform) #Python #Snowflake #Azure #Scala #Cloud #Data Engineering #ML (Machine Learning)
Role description
We are looking for a highly skilled Snowflake Engineer with strong expertise in Cortex AI, Scientific Modeling, and Streamlit Apps development. Key Skills Required: • Hands-on experience with Snowflake Cortex AI capabilities • Strong background in Scientific/Data Modeling and analytical workflows • Experience developing and deploying Streamlit applications • Solid understanding of Snowflake data organization, optimization, and performance tuning • Snowflake Administration experience including user management, security, monitoring, and warehouse management Responsibilities: • Design and implement AI-driven data solutions within Snowflake • Build interactive Streamlit applications for data visualization and scientific analysis • Develop scalable data models and optimize Snowflake data architecture • Support Snowflake platform administration, governance, and performance improvements • Collaborate with cross-functional teams to deliver advanced analytics and AI initiatives Preferred Qualifications: • Experience with Python, SQL, and cloud platforms (AWS/Azure/GCP) • Strong problem-solving and analytical skills • Prior experience in enterprise data engineering or AI/ML environments preferred