🛠 Tech Stack

💼 About This Role

You'll enable the analytics community by building and maintaining a data warehouse of operational and financial data. You'll support analysts of varying levels by developing data models in Snowflake with dbt and partnering with Data Ops on a semantic layer for AI-driven analytics. This role offers the chance to work with cutting-edge tools at a leading revenue intelligence company.

🎯 What You'll Do

• Develop and maintain data models in Snowflake with dbt
• Design and build a testing and alerting framework for data quality
• Create data governance and democratization policies for analyst community
• Design and build a self-service analytics AI framework

📋 Requirements

• 4+ years in data engineering, analytics, or data science
• Bachelor's degree in Computer Science, Information Systems, Statistics, or other quantitative field
• Advanced SQL knowledge
• Experience building complex data pipelines using Airflow or Prefect

✨ Nice to Have

• Experience with dbt
• Moderate Python knowledge
• JavaScript knowledge

🎁 Benefits & Perks

• 🏖️ Flexible vacation time to promote healthy work-life blend
• 💰 401(k) program to invest in your future
• 📚 Education learning stipend for personal growth and development
• 🏡 Work from home stipend for remote success
• 👶 Paid parental leave to support you and your family

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite Interviews· 2-3 hours