Senior Analytics Engineer, Product Analytics

📋 Description

• Design, build, and orchestrate production data pipelines powering dashboards.
• Manage data infra: Databricks Asset Bundles, Airflow, migrations.
• Own tracking-event source-of-truth tables and rollups for events.
• Stand up CI/CD with GitHub Actions and automated tests for analytics code.
• Own data quality, governance: schema validation, data contracts, anomaly detection.
• Build and maintain Looker / LookML dashboards for BI.

🎯 Requirements

• 5+ years in Analytics, Data, or Software Engineering.
• Bachelor’s degree in Computer Science, Analytics, Statistics, Economics or related field.
• Hands-on experience building production pipelines with Python, SQL, Spark, Airflow, and Databricks.
• Automated testing, CI/CD (GitHub Enterprise/Actions), data validation, and anomaly detection.
• Establish self-service patterns, set standards, mentor teammates, and manage cross-functional Agile priorities.
• Proficiency in Databricks (DABs), Looker/LookML, Airflow, and GitHub Enterprise.

🎁 Benefits

• Competitive pay and benefits package (medical, dental, vision).
• Flexible time off.
• Employee Stock Purchase Program.
• 401(k) match.
• Denver office perks: paid parking, snacks, meals.
• Relocation bonus available.