🛠 Tech Stack

💼 About This Role

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

🎯 What You'll Do

• Build and optimize scalable ETL and data lake processes
• Own ingestion, modeling, and transformation of data
• Partner with BI and Analytics to deliver clean datasets
• Maintain database monitoring and quality assurance workflows
• Drive adoption of Looker dashboards with backend support

📋 Requirements

• 5+ years of experience in data engineering
• 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 or similar BI tools
• Knowledge of streaming data processing

🎁 Benefits & Perks

• 🏖️ Remote-first team spanning 15+ countries
• 💰 Profit-sharing bonus
• 📈 Performance-driven increases based on company and personal performance
• 🌍 Diverse and inclusive culture

📨 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