Data & Analytics Engineer
Ready to make a real impact on global health and wellness care?
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’re now 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’re a remote-first team headquartered in Toronto, made up of curious, driven, and empathetic people building tools that help practitioners create sustainable, independent practices; and do the most meaningful work of their careers. While most of our work happens remotely, we come together regularly for off-sites and team events to stay connected and build together.
Important notice to our applicants and job seekers:
We've 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
If something feels off, trust your instincts. Verify any suspicious outreach by contacting us directly at careers@practicebetter.io before taking any action.
Thank you for helping us keep our hiring process safe and transparent.
Practice Better runs a modern data stack (Snowflake, dbt, Stitch, Hightouch) and an internal AI warehouse agent that powers how our go-to-market teams access and act on data. The infrastructure is solid, and we're looking for someone who takes full ownership of it — and, more importantly, deeply understands the data running through it.
This isn't a traditional data engineering role. We don't need someone who only knows how to build pipelines. We need someone who understands how the business works — how Stripe processes transactions, how HubSpot triggers campaigns, how churn is calculated and where the nuance lives — and uses that understanding to make the data layer trustworthy, actionable, and clear.
This is a sole-contributor role on a small, high-output team. You'll own the full stack — pipelines, data models, integrations, and the data layer underpinning our AI-assisted analytics — but your real value is in connecting the dots between systems, data, and the humans who make decisions from it. You'll partner closely with the Head of RevOps, the broader data/analytics team, and stakeholders across the GTM motion.
If you've thrived at a small, fast-moving company where you wore many hats and no one handed you a spec — this is that role, amplified.
What You’ll Be Doing
Understand the Business Through the Data
- Develop a deep working knowledge of how our core business systems function — Stripe, Square, HubSpot, and others — not just as data sources, but as interconnected systems with mechanics that shape what the data means
- Be the person who can explain why a number looks the way it does, not just where it came from
- Partner with stakeholders across 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 and soundboard for the Head of RevOps — challenge assumptions, highlight anomalies, and communicate at a level that drives decisions
Own the Data Stack
- 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
Ensure Data Quality & Reliability
- Implement data quality monitoring, testing frameworks, and alerting so problems surface before they reach stakeholders
- Trace anomalies to root causes and ensure leadership is making 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
Advance AI-Assisted Data Workflows
- Design and evolve AI-assisted data workflows — including our internal warehouse agent — ensuring they're powered by clean, well-modeled, trustworthy data
- Bring strong intuition for AI failure modes and how to constrain systems for reliability
- Enable stakeholders to self-serve through AI-assisted tooling; your work is what makes that possible
What You Bring
- 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 at a large org. You've had to figure out how systems connect, what numbers mean, and how to explain both
- A genuine curiosity about business systems. You'll proactively dig into Stripe documentation, trace how a HubSpot workflow triggers, or investigate why a churn metric doesn't look right — without being asked
- SQL and working experience with dbt and Snowflake (or equivalent warehouse tooling)
- Proficiency for pipeline development and automation — AI tooling can accelerate execution, but you need the underlying engineering foundation to direct it and catch where it breaks.
- Experience building and optimizing ELT/ETL pipelines at scale, with strong understanding of data warehouse architecture and dimensional modeling.
- Clear, proactive communication. You can articulate findings, challenge assumptions, and translate technical complexity for non-technical stakeholders
- A pragmatic approach to AI — you actively use AI tools to accelerate your own work and you think carefully about making the data underneath AI systems trustworthy
- Experience with version control (Git)
Compensation & Pay Transparency
At Practice Better, we believe in pay transparency, equity, and fairness. We benchmark compensation against similar-stage, high-growth SaaS companies in both Canada and the United States and review our salary bands regularly to ensure they remain competitive and aligned with market trends.
Each role has a defined pay range based on its level, scope, and geographic location. Final offers are determined by several factors, including experience, demonstrated skills, and location, to ensure consistency and equity across our team.
Anticipated Base Salary Range (Canada): $135,000 - $145,000/year
We take a holistic approach to compensation, combining salary, benefits, and flexibility. Our goal is to provide total rewards that support both your professional growth and personal well-being.
The range above reflects our expected compensation for this role, based on current market data. Final offers may vary depending on factors such as location, skills, depth of experience, and relevant certifications. All compensation ranges are reviewed regularly and may evolve over time to reflect changes in the market.
What We Offer
Comprehensive Benefits
We offer a robust benefits package for full-time, permanent employees, including health, dental, and vision coverage from day 1, as well as RRSP matching, generous paid parental leave, and annual learning stipends.
Remote-First, Connected Culture
Our remote-first model gives you autonomy and flexibility, with optional access to our downtown Toronto office for in-person collaboration. We also host regular off-sites and team gatherings across North America, because connection, creativity, and shared moments matter.
Wellness and Growth
- Unlimited vacation, built on trust, clear expectations, and real support for taking time off
- Company RRSP program with employer-matched contributions
- Comprehensive health and dental benefits from day 1
- $750 annual Health & Wellness Allowance
- $1,000 annual Learning & Development Allowance to support your growth
- $500 annual Home Office Allowance to set up a productive remote workspace
- Sprout Family: personalized support for family-building and fertility journeys
- Inkblot: confidential, digital mental health support from licensed professionals
- Company-wide holiday closure in December
- Regular virtual company-wide events, lunches, and team socials to stay connected
Thriving at Practice Better
At Practice Better, you are not just an employee. You are part of a mission-driven community dedicated to helping others thrive. You will be trusted with autonomy, encouraged to take ownership, and supported by a team that values curiosity, compassion, and meaningful results.
We believe great culture and great performance go hand in hand. Delivering on our commitments is how we earn the trust of our practitioners and continue to expand our impact. Here, you will find the freedom to experiment, a focus on follow-through, and the opportunity to grow, along with the satisfaction of knowing your work directly improves lives every day.
Our Commitment to Diversity, Equity & Belonging
We know innovation happens when diverse perspectives come together. Practice Better is committed to fostering an inclusive environment where every team member feels valued, supported, and empowered to contribute their best.
If you do not meet every requirement listed above, we still encourage you to apply. Research shows that underrepresented groups often hesitate unless they feel 100% qualified. We are far more interested in your potential, curiosity, and alignment with our values.
We are committed to building a workplace where everyone can do the best work of their careers. We welcome applicants of all backgrounds, experiences, and abilities. Accommodations are available throughout the interview process upon request.
Ready to Apply?
If this sounds like your next step, we would love to hear from you. Join us in shaping the future of health and wellness for practitioners, their clients, and communities worldwide.
Apply Now → https://practicebetter.io/careers
Official Recruitment Notice & AI at Practice Better
All applications are reviewed directly by Practice Better’s internal Talent Acquisition team - no bots, no outsourcing. Legitimate communication from our hiring team will only come from email addresses ending in @practicebetter.io or @greenhouse.com.
Practice Better will never ask for payment, banking details, or personal financial information during the recruitment process. If you receive suspicious communication claiming to represent Practice Better, please contact our team at careers@practicebetter.io to verify its legitimacy.
AI in Recruitment at Practice Better
We use AI thoughtfully to take some of the repetitive work off our team’s plate: early drafts of job descriptions, first-round interview questions, and help reviewing larger applicant pools. It’s there to make the process smoother and more efficient for everyone.
What AI doesn’t do is make decisions. Every hiring decision is made by real people, using structured and consistent practices designed to reduce bias and ensure fairness.
We’re committed to using AI responsibly and reviewing our approach regularly so it stays aligned with best practices, legal guidance, and the kind of candidate experience we want to deliver.
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