🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data. You'll build and optimize ETL pipelines and data lake infrastructure on AWS. This role offers the chance to shape a high-performance data engineering culture 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 structured and unstructured data
• Partner with BI and Analytics to deliver clean, query-ready datasets
• Maintain database monitoring, anomaly detection, and quality assurance workflows

📋 Requirements

• 5+ years of experience in data engineering 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 and Spark

✨ Nice to Have

• Experience with Looker dashboards
• Mentoring peers and shaping engineering culture
• Cross-functional collaboration with BI, analytics, and engineering teams

🎁 Benefits & Perks

• 💰 Base salary $150,000-$190,000 per year
• 📈 Profit-sharing bonus
• 🏖️ Remote-first team spanning over 15 countries
• 🏥 Competitive benefits package
• 🚀 Performance-driven career growth

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Offer· 30 min