🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts empowering cross-functional teams with reliable data. Your core impact is building and optimizing ETL processes and data lake infrastructure to fuel strategic growth. This role offers ownership of critical data systems in a remote-first, high-performance culture.

🎯 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.
• Drive adoption of Looker dashboards by ensuring robust backend support.

📋 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

• Cross-functional collaboration skills to support BI, analytics, and engineering teams.
• Experience with Looker dashboards.
• Mentoring experience.

🎁 Benefits & Perks

• 💰 Competitive base salary ($150k-$190k)
• 📈 Profit-sharing bonus
• 🎉 High-growth, performance-driven culture
• 🌍 Remote-first team spanning over 15 countries
• 🏖️ Flexible time off (not specified but typical for remote-first)

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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