Data & Analytics Engineer

Practice Better

6d•Remote

About The Position

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. 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.

Requirements

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)

Responsibilities

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

Benefits

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