Data Engineer – AI Coding Agents

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🔥 1 minute ago

🗽 New York – Remote

🗽 New York – Remote

💵 $75 / hour

⏳ Contract/Temporary

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

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24-MAG

WebsiteLinkedInAll Job Openings

2 - 10 employees

🤝 B2B

💼 Consulting

B2B • Consulting

24-MAG is a commercial strategy and execution firm that helps B2B organizations design and implement systems, workflows, and operating rhythms for sales, client management, and cross-functional projects. They focus on transforming scattered processes into aligned, measurable, and scalable commercial functions—covering pipeline structure, account management frameworks, and operational discipline for teams seeking efficient, intentional growth.

📋 Description

• Complete and evaluate complex data engineering tasks using frontier AI coding agents • Review implementations involving ETL and ELT pipelines, data warehouses, analytics platforms, and distributed systems • Assess technical correctness, maintainability, scalability, and production readiness • Apply professional engineering judgment to realistic data infrastructure scenarios • Use AI coding agents within practical data engineering workflows • Evaluate how effectively models interpret requirements and implement technical solutions • Identify bugs, edge cases, incomplete implementations, and failure modes • Review model-generated data pipelines and supporting infrastructure • Evaluate ingestion, transformation, storage, orchestration, and data-processing logic • Identify scalability, reliability, performance, and data-quality concerns • Compare solutions produced by multiple frontier coding models • Assess architecture, implementation quality, technical reasoning, and reliability • Provide clear written assessments explaining relevant engineering trade-offs • Participate in intensive technical sprints involving pipeline review, AI coding-agent evaluation, debugging, scalability analysis, and model comparison

🎯 Requirements

• At least 2 years of professional data engineering experience • Hands-on experience building ETL pipelines, data warehouses, analytics platforms, or distributed data systems • Experience operating or supporting large-scale data platforms • Regular use of AI coding agents within engineering workflows • Ability to evaluate model-generated data infrastructure and pipeline implementations • Experience debugging complex data-processing or infrastructure issues • Strong technical judgment, written communication, and attention to detail • Ability to work effectively within short, intensive project sprints • A degree in computer science, data engineering, software engineering, information systems, or a related technical discipline may be helpful, but is not required • Advanced technical training in distributed systems, databases, cloud infrastructure, or data platforms may strengthen an application • Equivalent professional experience building production data systems may be considered • Experience with large-scale distributed data platforms • Familiarity with cloud-based data warehouses and analytics systems • Knowledge of workflow orchestration, data transformation, and pipeline monitoring • Experience with Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or comparable AI coding tools • Background in data quality, performance optimisation, or infrastructure reliability • Experience reviewing code or technical implementations created by other engineers • Previous exposure to AI evaluation, benchmark development, or structured technical review

🏖️ Benefits

• Flexible scheduling • Sprint-based project with task windows typically spanning approximately 12–24 hours • Compensation of $400 per accepted task • Compensation equivalent to up to approximately $75 per hour depending on accepted work and task duration • Weekly payments via Stripe or Wise • Potential project extensions or adjustments depending on scope and performance