🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts to empower cross-functional teams with reliable, actionable data, ensuring Launch Potato's analytics infrastructure fuels strategic growth. You'll own the ingestion, modeling, and transformation of structured and unstructured data to improve user acquisition, engagement, and revenue. This role offers the chance to shape a high-performance data culture and work with cutting-edge AWS technologies.

🎯 What You'll Do

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

📋 Requirements

• 5+ years in data engineering within 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 Spark and data quality best practices

✨ Nice to Have

• Experience with Looker dashboards
• Cross-functional collaboration skills with BI and analytics teams
• Mentoring experience in a high-performance engineering culture

🎁 Benefits & Perks

• 💰 Competitive base salary
• 📈 Profit-sharing bonus
• 🏖️ Remote-first team
• 🌍 Global team collaboration
• 📚 Career growth 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