🛠 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 stands out for its impact on business growth and opportunity to mentor peers.

🎯 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 query-ready datasets
• Maintain database monitoring and quality assurance workflows

📋 Requirements

• 5+ years experience in data engineering 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 or team leadership experience

🎁 Benefits & Perks

• 🌍 Remote-first global team
• 🚀 High-growth culture with ownership and impact
• 💡 Career acceleration opportunities

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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