🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts for a remote-first digital media company reaching 30M+ monthly visitors. You'll own ETL pipelines and data lake infrastructure that empower cross-functional teams with reliable, timely, and actionable data. This role offers high ownership and impact in a fast-paced, high-growth culture.

🎯 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 clean, query-ready datasets
• Maintain database monitoring, anomaly detection, and quality assurance workflows

📋 Requirements

• 5+ years of experience in data engineering within 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
• Cross-functional collaboration skills
• Mentoring experience

🎁 Benefits & Perks

• 🏖️ Remote-first culture with global team
• 🚀 High growth environment with ownership and impact

📨 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

🚩 Heads Up

• Emphasizes 'speed' and 'ownership' heavily, potential for high pressure
• Broad responsibilities spanning data engineering, BI, and mentoring without clear boundaries