🛠 Tech Stack

💼 About This Role

You'll join a Machine Learning Platform project, shaping data infrastructure that powers the full ML application development lifecycle. You'll work with roboticists and backend engineers to solve complex data challenges at scale. This high-impact role offers the chance to drive key data decisions and have your contributions truly matter.

🎯 What You'll Do

• Monitor and resolve issues across data ingestion pipelines
• Optimize queries and contribute to data architecture decisions
• Provide infrastructure support for scalability and security
• Collaborate with cross-functional teams on data challenges

📋 Requirements

• 5+ years of experience as a Data Engineer
• Strong background in data infrastructure
• Experience designing and maintaining data pipelines
• Proactive ownership-driven attitude

✨ Nice to Have

• Experience supporting ML platforms or working with data science teams
• Familiarity with cloud platforms (AWS, GCP, Azure)
• Knowledge of observability tools and monitoring

🎁 Benefits & Perks

• 🌍 Remote work from anywhere in LATAM
• 📈 High-impact role with significant ownership
• 🤝 Collaborative cross-functional team environment
• 📚 Continuous learning with new tools and frameworks
• 💡 Influence on data architecture decisions

🚩 Heads Up

• Job description mixes ML and data engineering but title says 'ML Data Engineer'
• Requirements include '5+ years' but no explicit senior role context contradicts this