🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts for a fast-growing digital media company. You'll own ETL pipelines and data lake infrastructure that empower cross-functional teams. This role offers a chance to mentor peers and shape a high-performance engineering culture.

🎯 What You'll Do

• Build and optimize ETL pipelines and data lake processes
• Ingest, model, and transform structured and unstructured data
• Partner with BI and Analytics to deliver query-ready datasets
• Maintain database monitoring, anomaly detection, and quality workflows

📋 Requirements

• 5+ years of data engineering in cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building 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 with BI and analytics teams
• Mentoring or leading junior engineers

🎁 Benefits & Perks

• 💰 Competitive base salary with profit-sharing bonus
• 🏖️ Remote-first team with global flexibility
• 📈 Performance-driven growth opportunities
• 🏥 Comprehensive benefits package
• 🌟 High-performance culture with ownership and impact

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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