Data Engineer - Fully Remote | Upto $80/Hr

Mercor; San Francisco (CA); Hybrid; GBP 49,000 - 82,000; Full time

Benefits offered by this job

$400 per accepted task

Job summary

Mercor in the United Kingdom is seeking a Data Engineer to join a fully remote team working with frontier AI coding agents on data engineering tasks, ETL pipelines, data warehouses, analytics platforms, and distributed data systems. You will review model-generated implementations, identify bugs, and evaluate different model outputs to inform infrastructure decisions.

Candidates should have 2+ years of data engineering experience and be proficient with AI coding agents such as Cursor, Claude

Qualifications

• 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.

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.

Skills

Data engineering

ETL pipelines

Distributed data systems

Analytics platforms

AI coding agents

Tools

Cursor

Claude Code

Codex

Windsurf

Gemini CLI

Job description

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.

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

• $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

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: [e-mail]

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

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Data Engineer - Fully Remote | Upto $80/hr London, England, United Kingdom