🛠 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 and data lake processes to fuel strategic growth. This role offers a remote-first global team environment.

🎯 What You'll Do

• Build and optimize scalable ETL and data lake processes
• Ingest and model structured and unstructured data for reporting
• Partner with BI and Analytics to deliver clean datasets
• Maintain database monitoring and anomaly detection workflows

📋 Requirements

• 5+ years of experience in data engineering within cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building 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 experience

🎁 Benefits & Perks

• 🌍 Remote-first global team
• 🚀 High-growth culture with measurable impact
• 💡 Ownership and accountability

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

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