M

Data Engineer (Coding Agent Experience)

Mercor • Germany
Remote
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AI Summary

Mercor seeks a Data Engineer to leverage frontier AI coding agents for complex data engineering tasks. Responsibilities include building ETL pipelines, evaluating model-generated implementations, and comparing outputs from multiple AI models. Must have 2+ years of professional data engineering experience and regular use of AI coding tools.

Key Highlights
Use frontier AI coding agents to complete and evaluate complex data engineering tasks
Review model-generated implementations involving ETL pipelines, data warehouses, and distributed systems
Compensation of $80/hour or $400 per accepted task
Key Responsibilities
Use frontier AI coding agents to complete and evaluate complex data engineering tasks
Review model-generated implementations involving ETL pipelines, data warehouses, analytics platforms, and distributed data systems
Identify bugs, edge cases, scalability issues, and failure modes in model outputs
Compare outputs from multiple frontier models and assess their strengths and weaknesses
Apply professional engineering judgment to realistic data engineering scenarios
Technical Skills Required
Data Engineering ETL Pipelines Data Warehouses Distributed Data Systems
Benefits & Perks
Remote work
$80/hour compensation
$400 per accepted task

Job Description


About The Job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Data Engineer (Coding Agent Experience)

Type: Contract

Compensation: $80/hour

Location: Remote

Role Responsibilities

  • Use frontier AI coding agents to complete and evaluate complex data engineering tasks.
  • Review model-generated implementations involving ETL pipelines, data warehouses, analytics platforms, and distributed data systems.
  • Identify bugs, edge cases, scalability issues, and failure modes in model outputs.
  • Compare outputs from multiple frontier models and assess their strengths and weaknesses.
  • Apply professional engineering judgment to realistic data engineering scenarios.

Qualifications

Must-Have

  • 2+ years of professional data engineering experience.
  • Experience building ETL pipelines, data warehouses, analytics platforms, or distributed data systems.
  • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
  • Ability to evaluate model-generated data infrastructure and pipeline implementations.

Preferred

  • Experience operating large-scale data platforms.

Compensation & Legal

  • $400 per accepted task.
  • Compensation is tied to accepted work.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: [email protected]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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