🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts that empower cross-functional teams with reliable, timely data. Your work will directly fuel strategic growth through analytics and business intelligence. This role offers the chance to mentor peers and shape a high-performance engineering culture.

🎯 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 database monitoring and quality assurance workflows

📋 Requirements

• 5+ years of data engineering experience
• Deep expertise in Python, SQL, Docker, and AWS
• Experience with ETL pipelines and data lake infrastructure
• Familiarity with distributed systems and Spark

✨ Nice to Have

• Experience with Looker dashboards
• Mentoring or leadership experience
• Cross-functional collaboration skills

🎁 Benefits & Perks

• 💰 Profit-sharing bonus
• 🏖️ Remote-first culture
• 🚀 High-growth environment
• 📈 Performance-based increases

📨 Hiring Process

Estimated timeline: 2-4 weeks

1. 1Recruiter Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min
4. 4Final Round with Leadership· 45 min