🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts that power cross-functional teams with reliable, actionable data. You'll build and optimize ETL pipelines and data lake infrastructure in an AWS environment, driving strategic growth. This role offers ownership of critical data systems 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/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 in cloud-native environments
• Deep expertise in Python, SQL, 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 or leading junior engineers
• Cross-functional collaboration skills

🎁 Benefits & Perks

• 🌍 Remote-first global team
• 🚀 High-growth culture with ownership and impact
• 🏖️ Flexible work environment
• 📈 Career acceleration through ownership and results

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Round· 45 min