🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts at a digital media company reaching 30M+ monthly visitors. Your work will empower cross-functional teams with reliable, timely data that fuels strategic growth. You'll own the ingestion, modeling, and transformation of data across business units.

🎯 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

📋 Requirements

• 5+ years of experience in data engineering within fast-paced, 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

• Cross-functional collaboration skills
• Experience mentoring peers

🎁 Benefits & Perks

• 🏖️ Remote-first culture
• 💰 Competitive compensation
• 🏥 Health insurance
• 📈 Growth opportunities
• 🌍 Global team

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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