🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts at a profitable digital media company, building reliable data pipelines on AWS. Your work will directly empower cross-functional teams to drive strategic growth. You'll own ingestion, modeling, and transformation of structured and unstructured data, ensuring Launch Potato's analytics infrastructure fuels decision-making.

🎯 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, anomaly detection, and QA 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
• Mentoring or team leadership experience
• Knowledge of data quality best practices

🎁 Benefits & Perks

• 🌍 Remote-first culture with global team
• 🚀 High-growth environment with ownership and impact
• 💡 Accelerate your career through fast-paced work

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

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