Analytics Engineer, Product Analytics

📋 Description

• Build scalable data pipelines and data foundations for product analytics
• Enable data-driven decisions across consumer products, client surfaces, and semantic layers
• Make data available and reliable for Decision Scientists and Data Scientists

🎯 Requirements

• 3+ years in a data engineering role supporting an analytics team
• Bachelor’s degree in CS, Engineering, Analytics, Statistics, Economics, or related field
• Python and SQL experience, with production data pipelines (Databricks a plus)
• Experience with ETLing data, data quality principles, schema validation, and data contracts
• Proficiency with Airflow; familiarity with Databricks Asset Bundles (DABs) and CI/CD (GitHub
• Looker/LookML familiarity and AI-assisted tooling is a plus

🎁 Benefits

• Competitive pay and benefits package
• 401k match and Employee Stock Purchase Program
• Denver-specific perks and office amenities