Tailscale# Analytics Engineer, DataReview the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.
Apply for this job View companyRemote from: CanadaSalary: CAD 203,680–254,600 / yrDepartment: Data Science & AnalyticsEmployment: Full TimeExperience: Open levelPublished: 26 Oct 2026Apply before: 26 Nov 2026Listing views: 655Application actions: 50Application toolkit## Make your next move.
Prepare your resume, explore your fit, and draft a cover letter for this opportunity.
AI Summary## The role, at a glance.
Tailscale is hiring a remote Canada-based Analytics Engineer to build reliable, scalable data models and pipelines supporting reporting and company decision-making. The role is hands-on across ingestion, transformation, and visualization, with particular emphasis on production-grade dbt models for ARR and revenue recognition. The engineer will partner closely with Finance, Engineering, Sales, Product, and Marketing while improving imperfect or manual workflows. Core technologies include Snowflake, dbt, Hightouch, Fivetran, Looker, Stripe, Salesforce, and Orb. This is a high-impact role in a fast-moving distributed SaaS environment that requires strong technical judgment and clear stakeholder communication.## Role DNAA quick view of the complexity, pace, ownership and collaboration implied by the

job description
.### Job Complexity4/5EasyHard### Pace & Pressure4/5RelaxedFast-paced### Autonomy Level5/5GuidedFull ownership### Communication Load4/5IndependentCollaborativeAI insightThe role requires ownership of complex financial and operational data models, including revenue recognition, while navigating manual processes and incomplete systems.



Success depends on balancing immediate business needs with durable data architecture across multiple functions.## Salary analysisEstimated compensation compared with the broader CA market for similar roles.
Estimated job median (per year)C$229,140CA market range (period not specified)C$140k–C$190kAI insightSalary comparison is unavailable: the pay periods are unspecified or differ, or salary amounts are unavailable. Market figures are AI estimates. Regenerate the analysis to obtain a market estimate with an explicit period.## Core skillsSkills and capabilities most closely associated with this prospect.
Analytics EngineeringdbtSQLSnowflakeData ModelingData PipelinesRevenue RecognitionFinancial AnalyticsLookerStakeholder ManagementSample interview questionsOpportunity details## 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*About TailscaleTailscale 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.### What We Are 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 tas

📌 Analytics Engineer, Data (Canada)
🏢 Jobicy
📍 Canada