🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts at Launch Potato, a digital media company reaching over 30M monthly visitors. You'll build and optimize ETL and data lake processes in an AWS environment, powering cross-functional teams with reliable data for strategic growth. This role offers a remote-first culture with a global team of high-performers.

🎯 What You'll Do

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

📋 Requirements

• 5+ years 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
• Knowledge of streaming data (Kinesis)

🎁 Benefits & Perks

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

📨 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