

CodeGeniusRecruit
Data Engineer | $80/hr Remote
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position offering $80/hr on a sprint-based remote contract lasting 12-24 hours. Key requirements include strong experience in data engineering, ETL pipelines, and large-scale data platforms, along with proficiency in coding agents.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
640
-
🗓️ - Date
June 17, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Scala #Data Engineering #Data Warehouse #"ETL (Extract #Transform #Load)"
Role description
Work Snapshot
Type: Hourly Contract
Location: Remote
Commitment: Sprint-based project running in 12 24 hour stretches based on project requirements
Commission: $80/hour (Typical accepted tasks pay approximately $400 and take 2 3 hours after ramp-up)
What You Ll Be Doing
• Complete and evaluate complex data engineering tasks using coding agents
• Review model-generated implementations involving ETL pipelines, data warehouses, analytics platforms, and distributed data systems
• Identify bugs, edge cases, scalability issues, and system failure modes
• Compare outputs from multiple models and assess strengths and weaknesses
• Apply engineering judgment to real-world data engineering scenarios
What We Re Looking For
• Strong experience in data engineering
• Strong experience building ETL pipelines, data warehouses, analytics platforms, or distributed data systems
• Strong experience using coding agents and developer productivity tools
• Ability to evaluate model-generated data infrastructure and pipeline implementations
• Strong experience operating large-scale data platforms
How To Apply
• Upload resume
• Interview
• Submit form
Work Snapshot
Type: Hourly Contract
Location: Remote
Commitment: Sprint-based project running in 12 24 hour stretches based on project requirements
Commission: $80/hour (Typical accepted tasks pay approximately $400 and take 2 3 hours after ramp-up)
What You Ll Be Doing
• Complete and evaluate complex data engineering tasks using coding agents
• Review model-generated implementations involving ETL pipelines, data warehouses, analytics platforms, and distributed data systems
• Identify bugs, edge cases, scalability issues, and system failure modes
• Compare outputs from multiple models and assess strengths and weaknesses
• Apply engineering judgment to real-world data engineering scenarios
What We Re Looking For
• Strong experience in data engineering
• Strong experience building ETL pipelines, data warehouses, analytics platforms, or distributed data systems
• Strong experience using coding agents and developer productivity tools
• Ability to evaluate model-generated data infrastructure and pipeline implementations
• Strong experience operating large-scale data platforms
How To Apply
• Upload resume
• Interview
• Submit form






