🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data. You'll own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units. This role offers the chance to build and optimize ETL pipelines in a cloud-native AWS environment for a high-growth digital media company.

🎯 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 anomaly detection 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 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
• Cross-functional collaboration skills

🎁 Benefits & Perks

• 🏖️ Remote-first culture with global team
• 📈 High-growth environment with ownership and impact
• 🤝 Collaborative culture with high-performers
• 🏥 Health benefits (likely U.S. plan)
• 💰 Competitive compensation (estimated range)

📨 Hiring Process

Estimated timeline: 1-2 weeks · AI estimate

1. 1Application Review· 1-2 days
2. 2Recruiter Screen· 30 min
3. 3Technical Interview· 1 hour