🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts for a profitable digital media company reaching 30M+ monthly visitors. Your work powers data-driven decision-making across product, marketing, and operations, driving strategic growth. You'll own the full data lifecycle from ingestion to modeling to query-ready datasets.

🎯 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
• Mentoring peers and shaping engineering culture
• Cross-functional collaboration with BI and analytics teams

🎁 Benefits & Perks

• 🚀 Remote-first culture with team spanning 15+ countries
• 💰 Competitive compensation (estimated)
• 📈 Career acceleration through ownership and 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