Data Engineer | Remote

CodeGeniusRecruit; United States; On-site; USD 91,000 - 129,000; Full time

Job summary

CodeGeniusRecruit is seeking a data engineering-minded contractor to tackle complex tasks in sprint-based, 12-24 hour stretches aligned with project requirements. You will apply coding agents to implement and evaluate data pipelines, data warehouses, and analytics platforms.

The role emphasizes identifying bugs, edge cases, scalability issues, and system failure modes, then comparing outputs from multiple models to judge strengths and weaknesses.

Qualifications

• Strong experience building ETL pipelines, data warehouses, analytics platforms, or distributed data systems.
• Experience using coding agents and developer productivity tools.
• Ability to evaluate model-generated data infrastructure and pipelines.

Responsibilities

• 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.

Skills

ETL pipelines

Data warehouses

Analytics platforms

Distributed data systems

Model evaluation

Coding agents

Tools

Coding agents

Developer productivity tools

Job description

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 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.