🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data. You will own ETL pipelines and data lake infrastructure while partnering with BI and Analytics to deliver query-ready datasets. This role offers the chance to shape a high-performance engineering culture at a profitable digital media company.

🎯 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 and quality assurance workflows

📋 Requirements

• 5+ years of experience in data engineering within 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 and shaping engineering culture
• Cross-functional collaboration with BI and analytics teams

🎁 Benefits & Perks

• 🌍 Remote-first global team
• 💰 Competitive salary
• 🚀 High-growth culture with ownership
• 🏆 Performance-driven environment

📨 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