The Brixton Group
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 5+ years of experience, focusing on building data pipelines, ETL processes, and data infrastructure. Required skills include Databricks, Snowflake, and PySpark. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
April 10, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Spark (Apache Spark) #Databricks #AI (Artificial Intelligence) #PySpark #Data Pipeline #"ETL (Extract #Transform #Load)" #Data Lake #Snowflake #Data Engineering #Data Quality #Batch
Role description
• This role is only open to candidates who can work on a W-2 basis (no C2C or third-party candidates)
• Responsibilities
• Build and manage data pipelines and transformations
• Design and maintain robust data infrastructure (data lakes, pipelines)
• Design ETL pipelines for both batch and real-time processing
• Support data movement from warehouse to downstream processes
• Ensure data quality, lineage, and reliability
• Partner closely with AI Architect on implementation
Qualifications
Required
• Experience with: Databricks, Snowflake, and PySpark
• Strong understanding of data engineering best practices
Preferred
• 5+ years in data engineering (flexible if strong hands-on experience)
• Ability to understand business context and data usage
• This role is only open to candidates who can work on a W-2 basis (no C2C or third-party candidates)
• Responsibilities
• Build and manage data pipelines and transformations
• Design and maintain robust data infrastructure (data lakes, pipelines)
• Design ETL pipelines for both batch and real-time processing
• Support data movement from warehouse to downstream processes
• Ensure data quality, lineage, and reliability
• Partner closely with AI Architect on implementation
Qualifications
Required
• Experience with: Databricks, Snowflake, and PySpark
• Strong understanding of data engineering best practices
Preferred
• 5+ years in data engineering (flexible if strong hands-on experience)
• Ability to understand business context and data usage
