Snowflake Data Engineer

📋 Description

• Develop, maintain, and optimize data warehouse solutions using Snowflake to support business
• Design, build, and maintain ETL/ELT pipelines that extract, transform, and load data efficiently
• Write, test, and optimize complex SQL queries and data transformations to improve processing
• Integrate data from diverse sources, ensuring consistent, reliable, and accessible information
• Develop and maintain data models, structured datasets, and analytical data layers that meet
• Use Python, Snowflake stored procedures, and user-defined functions to automate workflows and

🎯 Requirements

• Hands-on experience developing, implementing, or supporting data solutions on Snowflake, including
• Strong SQL skills, with demonstrated ability to develop complex queries, implement data
• Practical experience designing, developing, maintaining, or supporting ETL/ELT pipelines for
• Experience connecting and consolidating information from multiple source systems into centralized
• Understanding of data warehouse architecture, data modeling principles, and the development of
• Ability to investigate data discrepancies, diagnose pipeline failures, and improve the performance

🎁 Benefits

• Competitive contract rate of $46–$56 per hour, depending on experience, technical skills, and
• Remote work flexibility from within the United States.
• Contract-based opportunity to gain experience delivering cloud data engineering solutions in a
• Apply and strengthen expertise in Snowflake, SQL, ETL/ELT, data modeling, and cloud data platforms.
• Opportunities to work with complementary technologies such as Python, AWS, dbt, Matillion, and
• Develop practical experience in data pipeline optimization, cloud warehouse performance, data