🛠 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 own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units. This role offers the chance to drive adoption of Looker dashboards and shape a high-performance engineering culture.

🎯 What You'll Do

• Build and optimize scalable, efficient ETL and data lake processes
• Own ingestion, modeling, and transformation of structured and unstructured data
• Partner closely with BI and Analytics to deliver clean, query-ready datasets
• Serve as internal point of contact for reporting infrastructure

📋 Requirements

• 5+ years of data engineering experience in fast-paced, 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

• Cross-functional collaboration skills to support BI, analytics, and engineering teams
• Experience with Looker dashboards
• Mentoring experience

🎁 Benefits & Perks

• 💰 Profit-sharing bonus included in compensation
• 🏖️ Remote-first culture with global team
• 📈 Performance-driven increases based on company and personal performance
• 🌟 Diverse and inclusive team with equal opportunity commitment

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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