🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts to empower cross-functional teams with reliable, timely, and actionable data. Your work will directly fuel strategic growth across product, marketing, and operations. You'll own ETL pipelines and data lake infrastructure in a remote-first, high-growth environment.

🎯 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 query-ready datasets
• Maintain and enhance data monitoring and quality assurance

📋 Requirements

• 5+ years of data engineering in 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 culture
• 💰 Competitive compensation
• 📈 High-growth environment
• 🌍 Global team

📨 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