🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts to 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. This role offers a chance to shape a high-performance engineering culture at a remote-first profitable media company.

🎯 What You'll Do

• **Build and optimize** scalable ETL and data lake processes
• **Own ingestion, modeling, and transformation** of data across business units
• **Partner with BI and Analytics** to deliver query-ready datasets
• **Maintain database monitoring** and anomaly detection workflows

📋 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 dashboards
• Mentoring peers and shaping engineering culture
• Cross-functional collaboration skills

🎁 Benefits & Perks

• 🏖️ Remote-first global team
• 📈 High-growth company culture
• 🧑‍💻 Ownership and measurable impact
• 🌍 Diverse and inclusive team
• 🚀 Career acceleration opportunities

📨 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