🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts at a profitable digital media company, building and optimizing ETL pipelines and data lake infrastructure. Your work will empower cross-functional teams with reliable, timely data to drive strategic growth. You'll own the ingestion and transformation of structured and unstructured data and serve as the internal point of contact for reporting infrastructure.

🎯 What You'll Do

• Build and optimize scalable ETL and data lake processes
• Own ingestion, modeling, and transformation of data
• Partner with BI and Analytics to deliver query-ready datasets
• Maintain database monitoring 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
• Experience mentoring peers
• Background in data-driven marketing or analytics

🎁 Benefits & Perks

• 💰 Profit-sharing bonus
• 🏖️ Remote-first culture
• 📈 Performance-driven compensation

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

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