🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts to empower cross-functional teams with reliable, timely, and actionable data. Your work will fuel Launch Potato's analytics and business intelligence infrastructure for strategic growth. You'll build and optimize ETL and data lake processes on AWS cloud-native infrastructure.

🎯 What You'll Do

• Build and optimize scalable ETL and data lake processes
• Own ingestion, modeling, and transformation of structured and unstructured data
• Partner with BI and Analytics to deliver clean, query-ready datasets
• Maintain and enhance database monitoring and anomaly detection workflows

📋 Requirements

• 5+ years of experience in data engineering in cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices

✨ Nice to Have

• Experience with Looker dashboards
• Experience mentoring peers in data engineering

🎁 Benefits & Perks

• 🚀 Remote-first culture spanning over 15 countries
• 📈 High-growth, high-performance culture
• 💡 Own outcomes and drive impact

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min