🛠 Tech Stack

💼 About This Role

You'll build and optimize scalable data pipelines and data models that power analytics and business-critical decision-making. You'll work closely with Data Science, Data Ops, and business stakeholders to ensure accurate, accessible data for self-service analytics. This role emphasizes ownership and technical versatility in a cross-functional, fast-paced environment.

🎯 What You'll Do

• Build, maintain, and optimize scalable data pipelines
• Design and implement data architectures for analytics and operations
• Partner with Data Science and Data Ops to maintain trusted datasets
• Gather requirements and translate them into technical solutions

📋 Requirements

• 5+ years of software engineering with 3+ years in data engineering
• Strong expertise in SQL and relational databases
• Experience building scalable data pipelines with Spark, DBT, or Airflow
• Proficiency in Python or another general-purpose language

✨ Nice to Have

• Experience with backend engineering and API development
• Familiarity with Infrastructure as Code tools
• Exposure to large-scale, real-world datasets (e.g., transactions, behavioral data)

🎁 Benefits & Perks

• 🏖️ Remote work from LATAM
• ⏰ Flexible hours
• 🏥 Health insurance
• 📚 Professional development budget
• 💻 Equipment stipend