🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts powering cross-functional teams with reliable, actionable data. You'll own ingestion and transformation of structured and unstructured data to fuel business intelligence and growth. This role offers a remote-first environment with a high-growth team spanning 15+ countries.

🎯 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
• Contribute to team culture by mentoring peers

📋 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
• Mentoring and shaping engineering culture
• Background in supporting BI, analytics, and engineering teams

🎁 Benefits & Perks

• 🌍 Remote-first global team
• 🏖️ Unlimited PTO (implied by high-performance culture but not explicit)
• 📈 Career acceleration through ownership and impact

📨 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