🛠 Tech Stack

💼 About This Role

You'll design, build, and maintain scalable data pipelines using Python and Airflow for a high-impact team. Your work will power business-critical workflows and support Machine Learning applications with reliable data.

🎯 What You'll Do

• Design, build, and maintain scalable data pipelines using Python and Airflow
• Develop and optimize ETL/ELT processes for structured and unstructured data
• Collaborate with data science teams to support Machine Learning workflows
• Ensure data quality, reliability, and performance across systems

📋 Requirements

• 4+ years of experience in Data Engineering or similar roles
• Strong proficiency in Python for data processing and pipeline development
• Hands-on experience with Apache Airflow (or similar orchestration tools)
• Strong knowledge of SQL and relational databases

✨ Nice to Have

• Experience with ML frameworks like TensorFlow or PyTorch
• Experience with data warehouses such as Snowflake or BigQuery
• Experience with streaming technologies like Kafka or Kinesis

🎁 Benefits & Perks

• 🏖️ Remote work
• 📈 Professional development opportunities
• 🌍 International impact with US and European clients
• 🏆 Great Place to Work certified

📨 Hiring Process

Estimated timeline: 1-2 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 1 hour
3. 3Take-home Assignment· 2-3 hours