Data & Analytics Engineer

Overview

Practice Better is an all-in-one platform helping health and wellness practitioners run their businesses, care for their clients, and scale their impact. Founded by practitioners in 2016, we are the leading EHR and practice management platform in the wellness industry, trusted by tens of thousands of practitioners across 70+ countries. In 2023, we expanded our whole-practice care offering through the acquisition of That Clean Life, bringing nutrition planning into our platform. We are a remote-first team headquartered in Toronto, composed of curious, driven, and empathetic people building tools that help practitioners create sustainable, independent practices. While most of our work is remote, we come together regularly for off-sites and team events to stay connected and build together.

Important notice to applicants and job seekers: We have become aware of fraudulent messages impersonating Practice Better’s recruitment team. Please note:

Practice Better will never ask for payment, banking details, or personal financial information at any stage of the hiring process All official communication comes from @practicebetter.io email addresses We will never ask you to purchase equipment, software, or gift cards We will never conduct interviews solely via text message or WhatsApp

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Responsibilities

What You’ll Be Doing

Understand the business through the data: develop a deep working knowledge of core business systems and how they interact with data (e.g., Stripe, Square, HubSpot) and how that data is interpreted in analytics Explain why a number looks the way it does, not just where it came from Collaborate with Growth, Customer Success, Marketing, and Payments to understand data dependencies, surface issues early, and translate business context into technical requirements Act as a thought partner to the Head of RevOps, challenge assumptions, highlight anomalies, and communicate in a way that informs decisions Own and evolve the full data infrastructure: Snowflake, dbt, Stitch, Rivery, and pipeline orchestration Build and maintain ELT/ETL pipelines and dbt models supporting analytics, reporting, and the AI warehouse agent Manage Snowflake for performance, cost, and reliability Build and maintain integrations between production systems and the data warehouse Implement data quality monitoring, testing frameworks, and alerting to surface problems before they reach stakeholders Trace anomalies to root causes and ensure leadership makes decisions on reliable data Establish and maintain data governance standards: documentation, access controls, and metric definitions Partner with Product and Engineering to instrument event tracking and ensure complete data capture across the customer journey Design and evolve AI-assisted data workflows, ensuring they are powered by clean, well-modeled data Enable stakeholders to self-serve through AI-assisted tooling Qualifications 3–5+ years in a data-focused role — data engineering, analytics engineering, BI engineering, or data science with an engineering bent Experience at a small or mid-stage company where you owned the full picture — not just a slice of a pipeline A genuine curiosity about business systems and a willingness to dig into Stripe, HubSpot, and churn metrics to understand data context SQL and working experience with dbt and Snowflake (or equivalent) Proficiency in pipeline development and automation; AI tooling can accelerate work, but a strong engineering foundation is essential Experience building and optimizing ELT/ETL pipelines at scale with knowledge of data warehouse architecture and dimensional modeling Clear, proactive communication and the ability to translate technical findings for non-technical stakeholders A pragmatic approach to AI, aiming to use AI tools responsibly while ensuring data trustworthiness Experience with version control (Git) Compensation & Pay Transparency

We benchmark compensation against similar-stage, high-growth SaaS companies in Canada and the United States and review salary bands regularly. Each role has a defined pay range based on level, scope, and location. Final offers consider experience, demonstrated skills, and location to ensure consistency and equity.

Anticipated Base Salary Range (Canada): $135,000 - $145,000/year

We offer a holistic compensation approach that includes salary, benefits, and flexibility to support professional growth and well-being. The salary range above reflects current market data and may evolve over time.

What We Offer Comprehensive benefits package for full-time employees, including health, dental, and vision coverage from day 1, RRSP matching, and paid parental leave Remote-first culture with optional access to the downtown Toronto office $750 annual Health & Wellness Allowance $1,000 annual Learning & Development Allowance $500 annual