Analytics Engineer: Scalable Data Pipelines (Remote)

ProfilHQ; Canada; Remote; CAD 204,000 - 255,000; Full time

Benefits offered by this job

Remote first company

Competitive compensation

Benefits package

Professional development stipend

Job summary

Tailscale is seeking an Analytics Engineer to design and maintain scalable data models and pipelines. You will collaborate with Finance, Engineering, Sales, and other teams to deliver reliable data for reporting, analysis, and decision-making.

You’ll own production-grade dbt models and work across the data stack from ingestion to visualization, tackling manual processes with pragmatic, scalable solutions.

Qualifications

• 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 data accuracy and validation.
• Flexibility in navigating manual tasks or imperfect systems.
• Passion for clean code and scalable architecture.

Responsibilities

• Dive into complex systems and manual workflows to build understanding of tools and constraints.
• Design and maintain production-grade dbt models (e.g., ARR, revenue recognition).
• Work across the full data pipeline from ingestion to visualization.
• Balance quick fixes with thoughtful long-term design.
• Collaborate with Finance, Engineering, Sales to deliver timely data solutions.

Skills

SQL

Data modeling

dbt

Data pipelines

Communication

Cross-functional collaboration

Python/ETL tooling

Tools

Snowflake

Looker

dbt

Fivetran

Hightouch

Stripe

Job description

Tailscale is seeking an Analytics Engineer to design and maintain scalable data models and pipelines. You will collaborate with Finance, Engineering, Sales, and other teams to deliver reliable data for reporting, analysis, and decision-making.

You’ll own production-grade dbt models and work across the data stack from ingestion to visualization, tackling manual processes with pragmatic, scalable solutions.