🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts to power cross-functional teams with reliable, actionable data at a profitable digital media company. You'll build and optimize ETL and data lake processes, own data ingestion and transformation, and partner with BI to deliver query-ready datasets. This role stands out for its high-performance, remote-first culture across 15+ countries.

🎯 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 clean, query-ready datasets
• Maintain database monitoring, anomaly detection, and quality assurance 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
• Cross-functional collaboration skills to support BI, analytics, and engineering teams
• Mentoring experience and shaping engineering culture

🎁 Benefits & Perks

• 🌍 Remote-first team spanning over 15 countries
• 🚀 High-growth culture with ownership and impact
• 💡 Accelerate career by owning outcomes and moving fast
• 🤝 Global team of high-performers
• 🏢 Profitable digital media company with 30M+ monthly visitors

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

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