Analytics Engineer, Data

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About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are.

From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be.

Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital.

About the Role

We are looking for an Analytics Engineer who thrives in high-complexity environments—someone excited to bring clarity to chaos, untangle complex models, and lay down the foundation for scalable solutions.

This is a hands-on, high-impact role for someone who isn’t afraid to address manual processes, viewing them as opportunities to build scalable solutions that drive meaningful impact.

You’ll work closely with stakeholders across the company to build reliable, trusted data models that support reporting, analysis, and decision-making.

Key Responsibilities

Dive into complex systems and manual workflows to develop an understanding of our tools and constraints. Thoughtfully design and maintain clean, scalable, production-grade dbt models (e. g. , ARR, revenue recognition). Work across the full data pipeline, from ingestion to transformation to visualization.

Take a pragmatic approach to system challenges, balancing quick fixes with thoughtful long-term design. Collaborate with Finance, Engineering, Sales, and other teams across the company to understand data needs and deliver timely, practical solutions. Wha