Teamware Solutions
Snowflake Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Snowflake Data Engineer with a contract length of "unknown", offering a pay rate of "unknown". Candidates must have 10+ years of data engineering experience, be Snowflake certified, and possess strong skills in Python, SQL, ETL/ELT pipelines, and cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date
July 16, 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
Plano, TX
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🧠 - Skills detailed
#SQL (Structured Query Language) #GIT #Scrum #"ETL (Extract #Transform #Load)" #Databricks #Azure #Python #Data Warehouse #SnowPipe #Spark (Apache Spark) #Data Modeling #Snowflake #Programming #Agile #AWS (Amazon Web Services) #Data Engineering #Kafka (Apache Kafka) #Database Design #Cloud
Role description
Required Skills
• 10+ years of Data Engineering experience.
• Need a Snowflake Certified candidate.
• Strong hands-on experience with Snowflake Data Warehouse.
• Strong programming experience in Python.
• Advanced SQL development, query optimization, and performance tuning.
• Experience designing and developing ETL/ELT pipelines.
• Experience with Snowpipe, Streams, Tasks, and data loading strategies.
• Experience working with structured, semi-structured, and unstructured data.
• Strong understanding of data modeling and database design.
• Experience with cloud platforms such as AWS or Azure.
• Experience with Spark or Databricks.
• Knowledge of Kafka or other streaming technologies.
• Experience using Git and CI/CD practices.
• Experience working in Agile/Scrum environments.
Required Skills
• 10+ years of Data Engineering experience.
• Need a Snowflake Certified candidate.
• Strong hands-on experience with Snowflake Data Warehouse.
• Strong programming experience in Python.
• Advanced SQL development, query optimization, and performance tuning.
• Experience designing and developing ETL/ELT pipelines.
• Experience with Snowpipe, Streams, Tasks, and data loading strategies.
• Experience working with structured, semi-structured, and unstructured data.
• Strong understanding of data modeling and database design.
• Experience with cloud platforms such as AWS or Azure.
• Experience with Spark or Databricks.
• Knowledge of Kafka or other streaming technologies.
• Experience using Git and CI/CD practices.
• Experience working in Agile/Scrum environments.
