🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts for a profitable digital media company reaching 30M+ monthly visitors. You'll build and optimize ETL pipelines and data lake infrastructure on AWS to empower cross-functional teams. As a remote-first team spanning over 15 countries, you'll accelerate your career by owning outcomes and driving impact.

🎯 What You'll Do

• Build and optimize ETL pipelines and data lake processes
• Own data ingestion, modeling, and transformation for reporting
• Partner with BI and Analytics to deliver query-ready datasets
• Maintain database monitoring, anomaly detection, and QA 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 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 experience
• Knowledge of data quality and auditability

🎁 Benefits & Perks

• 🏖️ Remote-first culture with global team
• 📈 High-growth environment with ownership and impact
• 💡 Accelerate your career by owning outcomes

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

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