Data Engineer - Fully Remote | Upto $80/hr

mercor; Deutschland; Remote; EUR 79.000 - 118.000; Teilzeit

Zusammenfassung

Mercor is hiring a Data Engineer (Coding Agent Experience) for remote contract work. The role focuses on evaluating AI-assisted data engineering outputs, reviewing ETL pipelines, data warehouses, and distributed data systems, and ensuring robust data infrastructure.

You will compare model outputs from multiple frontier models and apply professional engineering judgment to complex data scenarios in a remote setting.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Data engineering

ETL pipelines

Data warehouses

Analytics platforms

Distributed data systems

AI coding agents

Model evaluation

Tools

Cursor

Claude Code

Codex

Windsurf

Gemini CLI

Jobbeschreibung

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.

Resources & Support

• For details about the interview process and platform information, please check:
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