Remote Data Engineer — AI-Powered ETL and Data Warehousing

Mercor

San Francisco (CA)

Hybrid

GBP 49,000 - 82,000

Full time

5 days ago

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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.