🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts that empower cross-functional teams with reliable, timely data. You'll own ETL pipelines and data lake infrastructure to support strategic growth. This role offers high impact across product, marketing, and operations 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 query-ready datasets.
• Maintain database monitoring, anomaly detection, and quality assurance 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 and Spark.

✨ Nice to Have

• Experience with Looker dashboards.
• Mentoring or team leadership experience.

🎁 Benefits & Perks

• 💰 Profit-sharing bonus
• 🏖️ Competitive benefits package
• 🌍 Remote-first team spanning 15+ countries
• 📈 Performance-driven salary increases

📨 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