🛠 Tech Stack

💼 About This Role

You'll design and build scalable data pipeline architecture for e.l.f. Beauty, powering insights across marketing, supply chain, and finance. You'll develop ELT/ETL pipelines and optimize data warehouse infrastructure to ensure high availability and performance. Collaborate closely with data scientists and analysts to continuously improve data models and processes.

🎯 What You'll Do

• Design and build scalable data pipeline architecture
• Develop ELT/ETL pipelines from various sources into data warehouse
• Optimize data infrastructure for high availability and performance
• Collaborate with data scientists and analysts to improve data models

📋 Requirements

• 8+ years experience as a Snowflake Data Engineer
• Expertise in Snowflake concepts like RBAC, virtual warehouse, zero copy clone
• Strong SQL development including queries and stored procedures
• Proficiency in Python, Java, or C#

✨ Nice to Have

• Experience with Informatica or SnapLogic
• Knowledge of cloud platforms like AWS, Azure, or GCP
• Familiarity with data governance best practices

🎁 Benefits & Perks

• 💰 Competitive pay and bonus eligibility (200% of target)
• 🏖️ Hybrid work (3 days in office, 2 days home)
• 📈 Equity grants
• 🏥 Benefits package for full-time employees