🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data for strategic growth. You'll own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units. This role offers the chance to mentor peers and shape a high-performance, quality-first 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 clean datasets
• Maintain database monitoring, anomaly detection, and QA 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, Spark, and data quality best practices

✨ Nice to Have

• Experience with Looker dashboards
• Mentoring or shaping engineering culture

🎁 Benefits & Perks

• 💰 Competitive base salary $150,000-$190,000
• 📈 Profit-sharing bonus
• 🏖️ Remote-first team
• 🌍 Global team spanning 15+ countries
• ⭐ Performance-driven increases

📨 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