🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts for a remote-first digital media company that reaches over 30M monthly visitors. You'll own ETL pipelines, data lake infrastructure, and mentoring to drive strategic growth across product, marketing, and operations. This role offers a profit-sharing bonus and high-impact ownership culture.

🎯 What You'll Do

• Build and optimize scalable ETL and data lake processes
• Own ingestion, modeling, and transformation of structured/unstructured data
• Partner with BI and Analytics to deliver clean datasets
• Maintain database monitoring, anomaly detection, and QA 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 and backend data support
• Cross-functional collaboration with BI, analytics, or engineering teams

🎁 Benefits & Perks

• 💰 Profit-sharing bonus
• 🏖️ Competitive benefits package
• 🌍 Remote-first team spanning 15 countries
• 📈 Performance-driven increases based on impact

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Phone screen with recruiter· 30 min
2. 2Technical interview with hiring manager· 60 min
3. 3On-site or virtual panel interview· 90 min