Remote Data Engineer: AI Model Evaluation & ETL

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. This remote role centers on leveraging frontier AI coding agents to perform and assess complex data engineering tasks, including ETL pipelines and distributed data systems.

The candidate will review model-generated code and outputs, identifying edge cases and scalability concerns while using engineering judgment. Ideal applicants have 2+ years in data engineering, experience with data warehouses or analytics

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

Data warehouses

Analytics platforms

Tools

Cursor

Claude Code

Codex

Windsurf

Gemini CLI

Job description

Mercor is seeking a Data Engineer (Coding Agent Experience) for contract work. This remote role centers on leveraging frontier AI coding agents to perform and assess complex data engineering tasks, including ETL pipelines and distributed data systems.

The candidate will review model-generated code and outputs, identifying edge cases and scalability concerns while using engineering judgment. Ideal applicants have 2+ years in data engineering, experience with data warehouses or analytics