🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts empowering cross-functional teams with reliable, actionable data for a high-growth digital media company. You'll own ingestion, modeling, and transformation of data to support user acquisition, engagement, and revenue growth. This role offers a chance to shape the future of Launch Potato's data team through mentoring and driving a quality-first engineering culture.

🎯 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
• Drive adoption of Looker dashboards with robust backend data support

📋 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 scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems and Spark

✨ Nice to Have

• Experience supporting BI, analytics, and engineering teams
• Knowledge of data quality best practices
• Mentoring or team leadership experience

🎁 Benefits & Perks

• 💰 Profit-sharing bonus
• 🏥 Competitive benefits
• 🚀 Performance-driven growth
• 🌍 Remote-first team

📨 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
4. 4Offer· 15 min