🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts that empower cross-functional teams with reliable, timely data. You will build ETL pipelines and data lake infrastructure in an AWS environment. This role offers the chance to own data quality and mentor peers in a remote-first, high-growth company.

🎯 What You'll Do

• Build and optimize scalable ETL and data lake processes
• Ingest, model, and transform structured and unstructured data
• Collaborate with BI and analytics to deliver query-ready datasets
• Maintain database monitoring, anomaly detection, and quality assurance

📋 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
• Cross-functional collaboration with BI, analytics, and engineering teams
• Experience mentoring peers in a high-performance culture

🎁 Benefits & Perks

• 🏖️ Remote-first work culture spanning over 15 countries
• 📈 High-growth environment with ownership and impact
• 💡 Mentorship opportunities and career acceleration
• 🌍 Global team of high-performers

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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