Analytics Engineer | Remote

CodeGeniusRecruit; United States; On-site; USD 165,000 - 441,000; Full time

Job summary

CodeGeniusRecruit is seeking a data engineering contractor to complete and evaluate complex tasks using coding agents. You will review model-generated implementations across ETL pipelines, data warehouses, analytics platforms, and distributed data systems, identifying bugs and scalability issues.

Apply engineering judgment to real-world data scenarios and compare outputs from multiple models to assess strengths and weaknesses.

Qualifications

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

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

Coding agents

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.