🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts for a data-driven digital media company, empowering cross-functional teams with reliable, timely, and actionable data. Your work will directly impact strategic growth through optimized ETL pipelines and data lake infrastructure. You'll own the ingestion, modeling, and transformation of data to support reporting and analysis across all 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 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 or team leadership experience
• Knowledge of streaming data processing

🎁 Benefits & Perks

• 🏖️ Remote-first culture
• 💰 Competitive compensation
• 🏢 High-growth environment
• 📈 Career acceleration opportunities
• 🌍 Global team collaboration

📨 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