🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts, building and optimizing ETL pipelines and data lake infrastructure using Python, SQL, Docker, and AWS. You'll own ingestion and transformation of data to support cross-functional teams and drive strategic growth. This role offers profit-sharing bonuses and a remote-first culture with a global team.

🎯 What You'll Do

• Build and optimize scalable ETL and data lake processes
• Own ingestion and transformation of structured and unstructured data
• Partner with BI and Analytics for clean, query-ready datasets
• Maintain database monitoring and quality assurance workflows

📋 Requirements

• 5+ years of data engineering in cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS
• Experience building scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems and data quality best practices

✨ Nice to Have

• Experience with Spark
• Familiarity with Looker dashboards
• Cross-functional collaboration skills

🎁 Benefits & Perks

• 💰 Profit-sharing bonus
• 🏖️ Remote-first culture
• 📈 Performance-driven increases
• 🏥 Competitive benefits package

📨 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