Data Engineering Specialist - Fully Remote | Upto $80/hr

mercor; United States; Remote; USD 94,000 - 127,000; Full time

Job summary

Mercor is seeking a Data Engineer (Coding Agent Experience) for contract work. You will work remotely to tackle complex data engineering tasks using frontier AI coding agents, evaluating model-generated ETL implementations, data pipelines, and distributed systems.

You will review multiple model outputs, identify bugs and scalability issues, and apply professional engineering judgment to realistic data scenarios while collaborating with a distributed team.

Qualifications

• 2+ years professional data engineering experience required.
• Experience building ETL pipelines, data warehouses, or distributed data systems.
• Regular use of AI coding agents for coding tasks.
• Ability to evaluate model-generated data infrastructure outputs.

Responsibilities

• Use frontier AI coding agents to complete and evaluate data tasks.
• Review model-generated implementations of ETL pipelines and data platforms.
• Identify bugs, edge cases, scalability issues in model outputs.
• Compare outputs from multiple frontier models and assess strengths/weaknesses.
• Apply engineering judgment to realistic data scenarios.

Skills

2+ years data engineering

ETL pipelines

data warehouses

analytics platforms

distributed data systems

ability to evaluate model outputs

use of AI coding agents

Tools

Cursor

Claude Code

Codex

Windsurf

Gemini CLI

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.