🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts that empower cross-functional teams with reliable, timely data. Your work will directly fuel strategic growth across product, marketing, and operations. You'll also drive adoption of Looker dashboards.

🎯 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 for query-ready datasets
• Maintain database monitoring and quality assurance workflows

📋 Requirements

• 5+ years of data engineering experience in cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS
• Experience building scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality

✨ Nice to Have

• Experience with Looker
• Mentoring and team development experience
• Knowledge of streaming data tools like Kinesis

🎁 Benefits & Perks

• 🚀 Remote-first team spanning 15+ countries
• 💰 Competitive compensation (estimated)
• 📈 High-growth culture with ownership and impact
• 🌍 Global team of high-performers
• 🎓 Career acceleration opportunities

📨 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