Overview

Data Engineer (Coding Agent Experience)

Responsibilities

• Use frontier AI coding agents to complete and evaluate complex data engineering tasks.
• Review AI-generated implementations involving ETL/ELT pipelines, data warehouses, analytics platforms, distributed data systems, and data infrastructure.
• Identify bugs, edge cases, scalability issues, performance bottlenecks, and failure modes.
• Compare outputs from multiple AI coding models and evaluate their strengths and weaknesses.
• Apply professional engineering judgment to realistic data engineering scenarios.
• Provide structured technical feedback to improve AI-generated data engineering solutions.
• Collaborate with technical reviewers to maintain consistent evaluation standards.

Qualifications

• 2+ years of professional Data Engineering experience.
• Strong proficiency in SQL, Python, and one or more modern data engineering technologies.
• Regular experience using AI coding tools such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar coding agents.
• Strong understanding of data architecture, pipeline design, data modeling, and performance optimization.
• Ability to evaluate AI-generated data engineering implementations and identify technical tradeoffs.
• Excellent analytical, problem-solving, and written communication skills.
• Prior experience with AI model evaluation or code review projects.
• Competitive compensation of $80/hour.
• Weekly payments.
• Independent contractor engagement.
• Easy Apply on LinkedIn
• Check Email for Next Steps
• Participate in Resume Evaluation & Interview Stage