🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts to empower cross-functional teams with reliable, actionable data. You'll build and optimize ETL pipelines and own data lake infrastructure to drive business intelligence and analytics. This role offers high visibility and impact in a remote-first, high-growth company.

🎯 What You'll Do

• Build and optimize scalable ETL and data lake processes
• Own ingestion, modeling, and transformation of data
• Deliver clean, query-ready datasets for BI and analytics
• Maintain database monitoring and anomaly detection workflows

📋 Requirements

• 5+ years of data engineering experience
• Deep expertise in Python, SQL, Docker, and AWS
• Experience building and managing scalable ETL pipelines
• Familiarity with distributed systems and Spark

✨ Nice to Have

• Experience with Looker dashboards
• Mentoring or leading team members
• Background in a high-growth digital media company

🎁 Benefits & Perks

• 🏖️ Remote-first culture with global team
• 💰 Competitive compensation package
• 📈 High-growth environment with career acceleration
• 🌍 Global team across 15+ countries
• 🤝 Diverse and inclusive culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Application Review· 1 week
2. 2Recruiter Phone Screen· 30 min
3. 3Technical Interview· 60 min