🛠 Tech Stack

💼 About This Role

You'll design and maintain distributed data systems supporting AI-driven features and collaborate with globally distributed teams in a fully remote Agile setup aligned with North American time zones. This role combines data engineering, backend development, and scalable architecture.

🎯 What You'll Do

• Build scalable data pipelines using Python and dbt
• Develop backend microservices with Java, Spring Boot, Gradle
• Design high-performance RESTful APIs
• Orchestrate data workflows with Airflow

📋 Requirements

• 5–7 years of Python for data engineering
• Java/Spring Boot for backend services
• 3+ years with big data tools (Snowflake, Redshift, Spark, Kafka)
• Strong SQL and NoSQL database optimization

✨ Nice to Have

• AI/LLM integration experience
• Cloud platforms AWS or GCP

🎁 Benefits & Perks

• 🌍 Fully remote position in LATAM with CT hours
• 📈 Long-term contract in global engineering environment
• 🤖 Cutting-edge AI product development exposure
• 🛠️ Modern data stack: dbt, Airflow, Snowflake

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3System Design Interview· 60 min