🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts at Launch Potato, a digital media company serving 30M+ monthly visitors. You'll build and optimize ETL pipelines, own data infrastructure, and partner with BI and analytics teams to fuel strategic growth. Your work directly impacts user acquisition, engagement, and revenue across brands like FinanceBuzz and All About Cookies.

🎯 What You'll Do

• Build and optimize scalable ETL and data lake processes
• Own ingestion, modeling, and transformation of structured/unstructured data
• Partner with BI and Analytics to deliver query-ready datasets
• Maintain database monitoring, anomaly detection, and quality assurance 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
• Cross-functional collaboration skills with BI, analytics, and engineering teams
• Mentoring experience and growth mindset

🎁 Benefits & Perks

• 💰 Competitive base salary ($150k-$190k)
• 📈 Profit-sharing bonus
• 🌍 Remote-first team spanning 15+ countries

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Online application· 15 min
2. 2Recruiter screen· 30 min
3. 3Technical interview· 60 min
4. 4Hiring manager interview· 45 min
5. 5Offer· 24-48 hours