Data Engineer

📋 Description

• Build core data models connecting usage, accounts, revenue, pipeline, billing, and health.
• Create trusted sources of truth for activation, usage, retention, expansion, pipeline, ARR, revenue.
• Build pipelines across product telemetry, CRM, billing, customer success, marketing, finance.
• Partner with Engineering and Product to improve data quality and usability.
• Build dashboards and datasets for self-serve reporting.
• Use AI to speed up work and reduce manual reporting.

🎯 Requirements

• 10+ years in data engineering, analytics engineering, data architecture, or business data roles.
• Excellent communication across technical and non-technical teams.
• Deep experience with SQL, data modeling, pipelines, orchestration, transformations, and production-grade code.
• Experience across product telemetry, CRM, billing, customer health, marketing, or finance.
• Strong understanding of how GTM teams operate (Sales, RevOps, Marketing, Finance).
• Hands-on experience using AI tools to write code, analyze data, automate workflows, or accelerate tasks.

🎁 Benefits

• Medical, dental, and vision insurance
• Daily lunch, snacks, and beverages
• Flexible time off
• Competitive salary and equity
• AI Stipend