🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts to power cross-functional teams with reliable data for strategic growth. You'll build and optimize ETL pipelines and data lake infrastructure on AWS. This role offers the chance to shape a high-performance engineering culture at a profitable, remote-first 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 clean datasets
• Maintain database monitoring and anomaly detection workflows
• Drive adoption of Looker dashboards with robust backend support

📋 Requirements

• 5+ years of experience in data engineering
• 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

• Experience mentoring peers
• Knowledge of Looker dashboard development
• Background in fast-paced, cloud-native environments

🎁 Benefits & Perks

• 💰 Base salary $150k-$190k
• 📈 Profit-sharing bonus
• 🏖️ Remote-first team across 15+ countries
• 🚀 Performance-driven growth with increases based on impact

📨 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