🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts that empower cross-functional teams with reliable, timely data. You'll own the ingestion, modeling, and transformation of data to support reporting and analysis across all business units. This role offers the chance to shape a high-performance engineering culture at a profitable digital media company.

🎯 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
• Drive adoption of Looker dashboards with robust backend support

📋 Requirements

• 5+ years of data engineering experience
• 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
• Mentoring experience

🎁 Benefits & Perks

• 🏖️ Remote-first work culture
• 💻 Global team across 15+ countries
• 📈 High-growth environment
• 🌟 Equal opportunity employer

📨 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