🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts that empower cross-functional teams with reliable data, ensuring analytics and BI infrastructure fuels strategic growth. You'll build and optimize ETL pipelines and data lake processes on AWS. This role offers a remote-first culture and the chance to mentor peers.

🎯 What You'll Do

• Build and optimize scalable ETL and data lake processes
• Own ingestion, modeling, and transformation of structured and unstructured data
• Partner with BI and Analytics to deliver 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 scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems and Spark

✨ Nice to Have

• Experience with Looker dashboards
• Cross-functional collaboration skills
• Mentoring experience

🎁 Benefits & Perks

• 🌍 Remote-first culture
• 💡 High-growth, high-performance culture
• 🤝 Diverse and inclusive team
• 📈 Career acceleration and ownership
• 💰 Competitive compensation (estimated)

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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