🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts that empower cross-functional teams with reliable, timely data. You'll own the ingestion and modeling of structured and unstructured data to support business intelligence. This role offers high ownership 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
• Partner with BI and Analytics to deliver clean datasets
• Maintain database monitoring and quality assurance workflows

📋 Requirements

• 5+ years of data engineering experience
• Deep expertise in Python, SQL, and AWS
• Experience with Docker and cloud-native environments
• Experience building scalable ETL pipelines

✨ Nice to Have

• Familiarity with Spark
• Experience with Looker
• Distributed systems experience

🎁 Benefits & Perks

• 🏖️ Remote-first work environment
• 💰 Competitive compensation
• 🚀 High-growth culture with ownership
• 🌍 Global team across 15+ countries

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager· 45 min