🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts for a digital media company reaching 30M+ monthly visitors. You'll build and optimize ETL pipelines and data lake infrastructure to empower cross-functional teams with reliable data. This role stands out with a remote-first team spanning over 15 countries and a high-performance culture.

🎯 What You'll Do

• Build and optimize scalable ETL and data lake processes
• Own ingestion, modeling, and transformation of structured and unstructured data
• Partner with BI and Analytics to deliver query-ready datasets
• Maintain database monitoring, anomaly detection, and quality assurance workflows

📋 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

• Cross-functional collaboration skills to support BI and analytics
• Experience mentoring peers and shaping engineering culture
• Knowledge of Looker dashboards

🎁 Benefits & Perks

• 🏖️ Remote-first team spanning over 15 countries
• 💰 Competitive compensation with performance-based growth
• 📈 Accelerated career growth in a high-performance culture
• 🏥 Health benefits (typical for US remote roles)

📨 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