CodeGeniusRecruit

Data Engineer | Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position offering an hourly contract at $80/hour, remote work, and a commitment to sprint-based projects. Key skills include strong experience in ETL, data warehouses, and large-scale data platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
640
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🗓️ - Date
August 2, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Warehouse #Data Engineering #Scala
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. Application Process • Submit your application through the Easy Apply button. • Each application will be reviewed against the role requirements. • Candidates who meet the requirements will receive an email with the next steps. • Follow the instructions provided in the email to complete the remaining application process.