Data Engineer - AI Coding Expert

mercor · Remoto · United States (TZ: -10, -9, -8, -7, -6, -5, 14)

Recebendo candidaturas · conferida em 08/09

Ficha da vaga

Modelo
Remoto
Onde aceita
Não informado
Senioridade
Júnior
Salário
US$ 80 por hora

Fonte: Himalayas · Ver vaga original →

  • claude code
  • python
  • sql
  • git github
  • analise dados
  • resolucao problemas

Organizei a descrição em seções com IA. O texto completo da vaga está logo abaixo.

Sobre a vaga

Mercor is seeking a Data Engineer to use and evaluate frontier AI coding agents on complex data engineering tasks, ETL pipelines, and distributed data systems.

O que você vai fazer

  • 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.

O que pedem

  • 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.

Descrição completa da vaga

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.

Application Process (Takes 20–30 mins to complete) Upload resume

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Resources & Support For details about the interview process and platform information, please check:

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PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Originally posted on Himalayas

Perguntas e respostas sobre a vaga

Aceita candidatos de onde?
A vaga não diz.
Qual o regime de contratação?
A vaga não diz.
É remota?
Sim, é remota.
Informa salário?
Sim: US$ 80 por hora.

Nenhuma vaga séria cobra para você se candidatar, e eu nunca peço dado bancário dentro de uma candidatura. O plano pago é cobrado só pelo Asaas, meu parceiro de pagamento.

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