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# Analytics Engineer, Data

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/tailscale.md)Share25 Sep 2026Published45Listing views3Application actions25 Oct 2026Apply before  Opportunity details

## About this role.

AI SummaryTailscale 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 DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

4/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

4/5IndependentCollaborative

AI 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 analysis

Estimated compensation compared with the broader CA market for similar roles.

Estimated job medianAbove marketC$229,140CA market rangeC$140k–C$190k0C$252k

AI insightThe disclosed target base-salary range is CAD 203,680 to CAD 254,600 annually, with a midpoint of CAD 229,140. The estimated US market base-salary range for a mid-to-senior Analytics Engineer in a high-growth SaaS environment is USD 140,000 to USD 190,000 annually; this market range is an estimate and excludes equity, benefits, and any variable compensation.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Analytics Engineering](https://jobicy.com/jobs?search_keywords=Analytics%20Engineering.md)[dbt](https://jobicy.com/jobs?search_keywords=dbt.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Snowflake](https://jobicy.com/jobs?search_keywords=Snowflake.md)[Data Modeling](https://jobicy.com/jobs?search_keywords=Data%20Modeling.md)[Data Pipelines](https://jobicy.com/jobs?search_keywords=Data%20Pipelines.md)[Revenue Recognition](https://jobicy.com/jobs?search_keywords=Revenue%20Recognition.md)[Financial Analytics](https://jobicy.com/jobs?search_keywords=Financial%20Analytics.md)[Looker](https://jobicy.com/jobs?search_keywords=Looker.md)[Stakeholder Management](https://jobicy.com/jobs?search_keywords=Stakeholder%20Management.md)

Sample interview questionsHow would you design a production-grade dbt model for ARR reporting?I would begin by defining ARR with Finance and RevOps, including source-of-truth systems, inclusion rules, currency handling, and effective-date logic. I would build layered staging, intermediate, and mart models; add dbt tests for uniqueness, referential integrity, accepted values, and reconciliation to billing data; and document metric definitions and lineage.

Describe how you would approach a manual month-end reporting workflow that must be automated.

I would first map each step, data source, owner, decision rule, and reconciliation point to identify both risk and effort. I would deliver a validated minimum automation for the highest-value repeatable steps, preserve an auditable comparison to the current process, and iteratively replace remaining manual work with monitored pipeline components.

How do you balance an urgent stakeholder request with long-term data architecture?

I clarify the decision deadline, required accuracy, and whether the request is recurring. For urgent work, I provide a clearly labelled short-term solution with documented assumptions, then create a follow-up plan to incorporate the logic into governed models if the metric will be reused.

What controls would you use to ensure data quality in financial or revenue models?

I would use source-to-target reconciliations, dbt schema and custom tests, freshness checks, anomaly monitoring, and period-over-period variance reviews. I would also establish clear ownership, version-controlled metric definitions, and an audit trail for adjustments and exceptions.

How would you communicate a complex data-model limitation to a non-technical Finance or Sales stakeholder?

I would explain the business impact first, using a concrete example of which decisions or numbers may be affected. I would avoid jargon, state the confidence level and assumptions, present practical options with trade-offs, and confirm the stakeholder's preferred path and timeline.

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 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.

### 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 tasks or imperfect systems.
* Passion for clean code, scalable architecture, and incrementally reducing complexity over time.
* Ability to manage time, prioritize effectively, and thrive in a fast-moving environment.
* Clear communication skills with both technical and non-technical collaborators.
* Willingness to flexibly support other domains (e.g., Product, Marketing, and Engineering) as the team grows.

### Nice to Have

* Experience at a high-growth PLG SaaS company.
* A track record of transforming manual, ad hoc workflows into scalable data pipelines.
* Familiarity with billing systems, GAAP accounting, revenue recognition, or audit support.
* Exposure to Stripe, Salesforce, or Orb in billing and finance contexts.
* Familiarity with financial cycles and the need for fast iteration during month- and quarter-end.

### Our Tech Stack

* Snowflake, dbt, Hightouch, Fivetran, Looker, Stripe, Salesforce, Orb.

As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale’s compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire’s base salary. Individual offers may vary based on experience and skill set.

CAN Pay Range

$203,680—$254,600 CAD

What We Offer

* An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life.
* A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles).
* Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family!
* Remote first company—most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description.
* Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation.
* Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration.

* Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities.
* Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world!
* A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own.
* Paid parental leave program. We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents).

Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter.

Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people.

Please be aware that legitimate emails from Tailscale’s talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit [https://tailscale.com/scam-awareness](https://tailscale.com/scam-awareness).

Show more

[Apply now >](https://jobicy.com/jobs/154067-analytics-engineer-data.md)

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