🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data at Launch Potato. You'll build and optimize ETL pipelines and data lake infrastructure to support analytics and business intelligence. This role offers the chance to mentor peers and shape a high-performance engineering culture in a remote-first, global team.

🎯 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 query-ready datasets
• Maintain database monitoring, anomaly detection, and quality assurance workflows
• Mentor peers and shape a high-performance engineering culture

📋 Requirements

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

✨ Nice to Have

• Experience with Looker or similar BI tools
• Cross-functional collaboration with BI and analytics teams
• Mentoring experience

🎁 Benefits & Perks

• 🌍 Remote-first team spanning 15+ countries
• 🚀 High-growth culture with ownership and measurable impact
• 👥 Diverse and inclusive team environment
• 🎓 Growth mindset and mentorship opportunities

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Final Interview· 45 min