AI Coding Data Engineer - Remote Contract

mercor

United States

Remote

USD 96,000 - 124,000

Full time

14 days+
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Job summary

Mercor is seeking a Data Engineer to work on frontier AI coding agent workflows in a fully remote contract role. You will build and evaluate ETL pipelines, data warehouses, analytics platforms, and distributed data systems, using state-of-the-art AI coding agents to implement and test data solutions.

You will review model-generated code, identify edge cases and scalability issues, and apply engineering judgment to realistic data scenarios.

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
Model evaluation
AI coding agents usage

Tools

Cursor
Claude Code
Codex
Windsurf
Gemini CLI

Job description

Mercor is seeking a Data Engineer to work on frontier AI coding agent workflows in a fully remote contract role. You will build and evaluate ETL pipelines, data warehouses, analytics platforms, and distributed data systems, using state-of-the-art AI coding agents to implement and test data solutions.

You will review model-generated code, identify edge cases and scalability issues, and apply engineering judgment to realistic data scenarios.

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