🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering for a profitable digital media company reaching 30M+ monthly visitors. You'll own ETL pipelines and data lake infrastructure that power analytics and business intelligence across all business units. You'll mentor peers and shape a high-performance engineering 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 clean, query-ready datasets
• Maintain database monitoring, anomaly detection, and quality assurance workflows

📋 Requirements

• 5+ years of data engineering experience in 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

• Experience with Looker dashboards
• Mentoring or leadership experience
• Strong cross-functional collaboration skills

🎁 Benefits & Perks

• 💰 Base salary $150k-$190k
• 🎯 Profit-sharing bonus
• 🌍 Remote-first global team
• 📈 Career acceleration in high-growth company

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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