🛠 Tech Stack

💼 About This Role

You'll lead data engineering efforts for a digital media company, building scalable ETL pipelines and data lake infrastructure. You'll empower cross-functional teams with reliable, timely data to drive strategic growth. This role offers a remote-first culture with a high-performance global team.

🎯 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 clean 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
• Mentoring and peer development skills
• Cross-functional collaboration with BI and analytics teams

🎁 Benefits & Perks

• 💰 Competitive base salary ($150k-$190k)
• 📈 Profit-sharing bonus
• 🏖️ Remote-first work
• 🚀 Career growth opportunities in a performance-driven culture

📨 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
4. 4Offer· N/A