🛠 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 own end-to-end ETL pipelines and data lake infrastructure to fuel strategic growth. You'll contribute to a high-performance, quality-first engineering culture.

🎯 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, anomaly detection, and QA workflows

📋 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 supporting BI, analytics, and engineering teams
• Mentoring peers and shaping engineering culture
• Looker dashboard backend support

🎁 Benefits & Perks

• 💰 Competitive base salary $150k-$190k
• 📈 Profit-sharing bonus
• 🏖️ Remote-first team spanning over 15 countries
• 📚 Career growth and mentorship 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