🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data. You'll own the ingestion, modeling, and transformation of data to support reporting and analysis across all business units. This role offers you the chance to shape Launch Potato's data team and mentor peers in a remote-first, high-growth environment.

🎯 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 database monitoring, anomaly detection, and quality assurance workflows

📋 Requirements

• 5+ years of data engineering experience 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
• Cross-functional collaboration skills supporting BI, analytics, and engineering teams
• Mentoring or team leadership experience

🎁 Benefits & Perks

• 🏖️ Remote-first team spanning 15+ countries
• 🚀 High-growth culture with ownership and measurable impact
• 💡 Accelerate career by owning outcomes and moving fast
• 💻 Cloud-native environment with modern data stack
• 🌟 Equal opportunity employer committed to diversity and inclusion

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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