Dandy

Senior Data Engineer - Data Infra (Ontario, Canada)

Canada full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

Dandy is transforming the massive and antiquated dental industry—an industry worth over $400B. Backed by some of the world’s leading venture capital firms, we’re on an ambitious mission to simplify and modernize every function of the dental practice through technology. As we expand our reach globally, Dandy is building the operating system for dental offices around the world—empowering clinicians and their teams with technology, innovation, and world-class support to achieve more for their practices, their people, and their patients.

About the Role

Dandy is hiring a hands-on Senior Data Engineer to join our rapidly growing venture-backed company. The Data Infrastructure team owns the data platform — ingestion, pipelines, and the warehouse feeding downstream tools like Looker and Hex — that Sales, Marketing, Manufacturing, People, Finance, and ML teams rely on every day. In this role, you'll build and scale the infrastructure that turns raw data into trusted, self-serve data products, and help lay the foundation for an AI/agent-ready data platform. It's a rare chance to have outsized, ground-floor impact on how the entire company works with data. This role will be remote based in Ontario, Canada.

What You'll Do

Design, build, and operate ingestion pipelines and connectors (e.g., Fivetran, dbt, BigQuery) that reliably land data from disparate source systems into our warehouse

Own and evolve core platform components — dbt models and the semantic layer, data quality/observability, and orchestration — that power our BI tools and internal analytics apps

Partner directly with stakeholders across Finance, GTM, Manufacturing, and ML to translate business needs into governed, self-serve data products

Help extend the platform to support AI and agent-based workflows — governed data access, semantic layers usable by LLMs/agents, and the guardrails to keep that safe at scale

What We're Looking For

5+ years of experience in a data engineering, data platform, or SQL-heavy analytics engineering role (high-growth startup environments highly preferred)

Track record of building data ingestion pipelines, connectors, and transformation workflows (dbt or equivalent) in production

Expert-level SQL, plus working fluency in Python or a similar language for platform tooling and automation

Hands-on exposure to Looker, Hex, dbt, and/or equivalent BI/analytics tooling, with a point of view on evaluating and integrating them into a broader platform

Demonstrated ability to work across teams to gather requirements and drive consensus on data platform decisions

Track record of standing up new data engineering processes through ambiguity

Willingness to roll up your sleeves and fix problems hands-on, paired with intellectual curiosity and strong troubleshooting instincts

Bonus Points For

Exposure to healthcare or other regulated, compliance-heavy environments

Experience building infrastructure that supports ML/AI workflows or agentic, LLM-powered products

Experience building pipelines with compliance handling for PHI/PII data, particularly in healthcare

Req ID: J-1276

For full-time positions, Dandy offers a wide range of best-in-class, comprehensive, and inclusive benefits tailored to each country where we operate. Our local benefits packages typically include healthcare, dental, mental health support, parental planning resources, retirement savings options, and generous paid time off—ensuring our team members are supported no matter where they live and work.

Dandy is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics.

Dandy also fully complies with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals. If you require any accommodations for your interview or have any questions beforehand, rest assured that we will do everything we can to meet your needs. Visit Dandy Careers for more!

Data Privacy Notice: By submitting your application, you consent to Dandy collecting, storing, and processing your personal information for recruitment purposes in accordance with our Privacy Policy and GDPR regulations. You have the right to access, rectify, or request the deletion of your data at any time by contacting Privacy Requests.

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Data Analysis Finance Human Resources MySQL Python Mid level

Likely questions

  1. Tell us about work you have done that is close to the Senior Data Engineer - Data Infra (Ontario, Canada) role.
  2. How would you approach your first 30 days at Dandy?
  3. Which of Data Analysis, Finance and Human Resources have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Finance and Human Resources.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior Data Engineer - Data Infra (Ontario, Canada) role because I can bring practical experience in Data Analysis, Finance and Human Resources, learn the team quickly, and contribute to the outcomes Dandy needs from this hire.

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