Job description

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 meetdandy.com 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 meetdandy.com and GDPR regulations. You have the right to access, rectify, or request the deletion of your data at any time by contacting Privacy Requests meetdandy.com.

Requirements

Must-haves

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
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
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

Nice-to-haves

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

Application prep

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Keywords to mirror

mlaisqlpythonllmrest

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Paid Time Off