The connectivity platform for devs, IT, and security teams. Zero Trust identity-based access that deploys in minutes and scales to every resource. Start free. Backed by Accel, Insight and CRV.
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.
What they're looking for
- Experience designing and maintaining production-grade data models and pipelines
- Deep understanding of modern data modeling principles and best practices
- Strong SQL skills and confidence working with complex datasets and schemas
- High attention to detail, with high standards for data accuracy and validation
- Flexibility and resourcefulness in navigating manual tasks or imperfect systems
- Passion for clean code, scalable architecture, and incrementally reducing complexity over time
More about this role
Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic!
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.
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...
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