🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data. You'll build and optimize ETL and data lake processes to support analytics and business intelligence. This role offers the opportunity to shape a high-performance data engineering culture in a remote-first, high-growth company.

🎯 What You'll Do

• Build and optimize scalable ETL and data lake processes
• Ingest, model, and transform structured and unstructured data
• Partner with BI and Analytics to deliver query-ready datasets
• Maintain database monitoring, anomaly detection, and quality assurance
• Serve as internal point of contact for reporting infrastructure

📋 Requirements

• 5+ years of data engineering experience
• 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
• Experience in a fast-paced, cloud-native environment
• Cross-functional collaboration skills

🎁 Benefits & Perks

• 💰 Base salary $150,000-$190,000
• 📈 Profit-sharing bonus
• 🏠 Remote-first team

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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