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Cloud Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud Data Engineer with 4-8 years of SQL/Snowflake experience and 1-2 years in Coalesce. Contract length is "unknown," pay rate is "unknown," and it requires strong SQL skills, automation mindset, and cloud ecosystem familiarity.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 11, 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
Omaha, NE
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🧠 - Skills detailed
#GCP (Google Cloud Platform) #SnowPipe #Kafka (Apache Kafka) #SQL (Structured Query Language) #Automation #Storage #IAM (Identity and Access Management) #Version Control #Data Engineering #Snowflake #Cloud #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #GIT #Azure
Role description
Desired Profile:
• Very Strong In Advanced Sql: Advanced Joins, Window Functions, Ctes, Performance Considerations
• Strong Communication Skills And Ability To Translate Business Requirements Into Data Solutions.
• Strong Problem Solving Skills And Data Engineering Fundamentals.
• Strong Automation Mindset With A Drive To Eliminate Manual Work.
• Strong Collaboration And Knowledge Sharing Skills.
• Strong Background Culture Of Delivering Projects With First Time Right / Zero Defects In Production
Good To Have:
• Experience With Snowflake Advanced Features:
• Streams/Tasks, Dynamic Tables, Snowpipe, External Tables, Zero-Copy Cloning
• Familiarity With Cloud Ecosystems (Azure/Aws/Gcp), Object Storage, And Iam Patterns.
• Exposure To Event Streaming (Kafka/Kinesis/Event Hubs) And Cdc Tools.
Standard Skillset Role:
• Cloud Data Engineer with Snowflake and Coalesce.
Experience Level:
• Mid Level, 4- 8 Years Of Experience In Sql/Snowflake; 1-2 In Coalesce
Must Have:
• Snowflake - Strong Hands-On Experience with Snowflake:
• Sql Development, Warehousing Concepts, And Workload Management
• Coalesce - Experience Building Transformations In Coalesce
• Git-Version Control And Collaborative Development Workflows
Desired Profile:
• Very Strong In Advanced Sql: Advanced Joins, Window Functions, Ctes, Performance Considerations
• Strong Communication Skills And Ability To Translate Business Requirements Into Data Solutions.
• Strong Problem Solving Skills And Data Engineering Fundamentals.
• Strong Automation Mindset With A Drive To Eliminate Manual Work.
• Strong Collaboration And Knowledge Sharing Skills.
• Strong Background Culture Of Delivering Projects With First Time Right / Zero Defects In Production
Good To Have:
• Experience With Snowflake Advanced Features:
• Streams/Tasks, Dynamic Tables, Snowpipe, External Tables, Zero-Copy Cloning
• Familiarity With Cloud Ecosystems (Azure/Aws/Gcp), Object Storage, And Iam Patterns.
• Exposure To Event Streaming (Kafka/Kinesis/Event Hubs) And Cdc Tools.
Standard Skillset Role:
• Cloud Data Engineer with Snowflake and Coalesce.
Experience Level:
• Mid Level, 4- 8 Years Of Experience In Sql/Snowflake; 1-2 In Coalesce
Must Have:
• Snowflake - Strong Hands-On Experience with Snowflake:
• Sql Development, Warehousing Concepts, And Workload Management
• Coalesce - Experience Building Transformations In Coalesce
• Git-Version Control And Collaborative Development Workflows
