🛠 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 build and optimize ETL and data lake processes to support business intelligence and analytics. This role offers the chance to shape Launch Potato's data team culture and mentor peers.

🎯 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 QA workflows

📋 Requirements

• 5+ years of experience in data engineering within 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
• Mentoring peers and shaping engineering culture
• Strong cross-functional collaboration skills

🎁 Benefits & Perks

• 💰 Competitive base salary ($150k-$190k)
• 📈 Profit-sharing bonus
• 🏖️ Remote-first culture
• 🩺 Medical, dental, vision benefits
• 📚 Professional development opportunities

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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