🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts for a digital media company reaching 30M+ monthly visitors. You'll build and optimize ETL pipelines and data lake infrastructure to empower cross-functional teams. This role offers high ownership and impact in a remote-first, performance-driven culture.

🎯 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 quality assurance

📋 Requirements

• 5+ years of experience in data engineering
• 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 shaping team culture

🎁 Benefits & Perks

• 💰 Profit-sharing bonus
• 🏠 Remote-first team spanning over 15 countries
• 📈 Performance-driven increases based on company and personal performance
• 🏖️ Flexible paid time off (inferred)
• 💻 Home office stipend (inferred)

📨 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