🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts at a fast-growing digital media company, building ETL pipelines and data lake infrastructure on AWS. You'll own data quality and mentor peers, driving impact across product, marketing, and operations. This role is fully remote with a high-performance, outcome-driven culture.

🎯 What You'll Do

• Build and optimize scalable ETL and data lake processes with proactive issue detection
• 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 data engineering experience in 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 dashboard development
• Mentoring or leading junior engineers

🎁 Benefits & Perks

• 🏖️ Remote-first culture spanning over 15 countries
• 🚀 High-growth environment with ownership and impact
• 💡 Opportunities for mentorship and team growth
• 🌍 Global team of high-performers
• 💻 Cloud-native tech stack with AWS and modern tools

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

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