🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts that empower cross-functional teams with reliable data. You'll build and optimize ETL pipelines and data lake infrastructure to fuel strategic growth. This role offers the chance to shape a high-performance data culture at a profitable, remote-first 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 within 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 or leading other engineers
• Knowledge of data quality and anomaly detection tools

🎁 Benefits & Perks

• 🏖️ Remote-first culture with global team
• 💰 Competitive compensation (estimated)
• 🚀 High-growth company with over 30M monthly visitors
• 👥 Diverse and inclusive team
• 📈 Career acceleration opportunities

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min