🛠 Tech Stack

💼 About This Role

You'll develop core data warehouse infrastructure and automated pipelines at Verkada, an AI-powered physical security leader. You'll partner with Finance, Sales, and Marketing teams to deliver a single source of truth for enterprise data analytics.

🎯 What You'll Do

• Engineer scalable warehouse infrastructure for accurate insights
• Design and manage automated data pipelines from various sources
• Develop bronze, silver, and gold data models with cross-department collaboration
• Oversee project lifecycle from design to production

📋 Requirements

• Bachelor's or Master's in Computer Science or related field
• 5+ years of professional data engineering experience
• Advanced skill in Python and SQL
• Expertise with cloud warehouses like BigQuery, Snowflake, or Databricks using DBT

✨ Nice to Have

• Experience with data observability platforms like BigEye, Monte Carlo
• Familiarity building vector databases for Generative AI
• Experience building Gen AI agents for development workflows

🎁 Benefits & Perks

• 🏥 Healthcare: 100% covered employee premiums, 80% family
• 🏦 HSA/FSA with employer contributions
• 👶 Paid parental leave and fertility benefits
• 🏖️ Flexible PTO and paid holidays
• 🍱 Daily healthy lunches and commuter benefits

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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

🚩 Heads Up

• Requires 5+ years experience but senior title suggests more
• Onsite 5 days a week may be restrictive for some candidates
• No visa sponsorship limits candidate pool