🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts in a cloud-native environment, building and optimizing ETL pipelines and data lake infrastructure to empower cross-functional teams. Your work ensures reliable, timely data that fuels business intelligence and strategic growth. This role offers a salary of $150k-$190k and the opportunity to shape a high-performance engineering culture.

🎯 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

📋 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, Spark, and data quality best practices

✨ Nice to Have

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

🎁 Benefits & Perks

• 💰 Base salary $150k-$190k
• 📈 Profit-sharing bonus
• 🏖️ Remote-first culture
• 💼 Performance-driven increases

📨 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