Analytics Engineer, Data

Role Overview

Tailscale is hiring an Analytics Engineer (Data) to bring clarity to complex, high-complexity environments. You’ll build reliable, trusted data models that support reporting, analysis, and decision-making.

Responsibilities

• Analyze complex systems and manual workflows to understand tool constraints and data reality.
• Design and maintain clean, scalable, production-grade dbt models (e.g., ARR and revenue recognition).
• Work across the full data pipeline:
  • Ingestion → Transformation → Visualization
• Use a pragmatic approach: balance quick fixes with long-term architecture.
• Partner with Finance, Engineering, Sales, and other teams to deliver timely, practical data solutions.

Requirements

• Experience designing and maintaining production-grade data models and pipelines.
• Strong understanding of modern data modeling principles and best practices.
• Advanced SQL skills with complex datasets and schemas.
• High attention to detail: strong standards for data accuracy and validation.
• Ability to navigate manual tasks and imperfect systems.
• Passion for clean code, scalable architecture, and incremental simplification.
• Strong prioritization and communication skills with technical and non-technical stakeholders.
• Willingness to flex into other domains (e.g., Product/Marketing/Engineering) as the team grows.

Nice to Have

• Experience at a high-growth PLG SaaS company.
• Track record of turning ad hoc/manual workflows into scalable pipelines.
• Familiarity with billing systems and GAAP accounting, revenue recognition, or audit support.
• Exposure to Stripe, Salesforce, or Orb in billing/finance contexts.
• Familiarity with financial cycles and rapid iteration around month/quarter-end.