Opportunity at
DandySenior Data Engineer - Data Infra (Ontario, Canada)
Dandy is a venture-backed technology company focused on modernizing and simplifying the dental industry through a global operating system designed for dental practices. The organization is…
Career Tools
About This Role
Dandy is a venture-backed technology company focused on modernizing and simplifying the dental industry through a global operating system designed for dental practices. The organization is currently seeking a Senior Data Engineer to join the Data Infrastructure team and operate remotely from Ontario, Canada. In this position, the professional will take ownership of the data platform by managing ingestion pipelines, data warehouses, and transformation workflows that supply downstream tools such…
Job Description
Dandy is a venture-backed technology company focused on modernizing and simplifying the dental industry through a global operating system designed for dental practices. The organization is currently seeking a Senior Data Engineer to join the Data Infrastructure team and operate remotely from Ontario, Canada. In this position, the professional will take ownership of the data platform by managing ingestion pipelines, data warehouses, and transformation workflows that supply downstream tools such as Looker and Hex. The individual will collaborate with various departments including Finance, Marketing, Sales, Manufacturing, People, and Machine Learning to convert raw data into trustworthy, self-serve data products. Additionally, the role involves establishing foundational infrastructure for AI-ready data workflows and semantic layers. This opportunity suits an experienced engineer who enjoys hands-on problem-solving, building platform components from the ground up, and navigating ambiguity in a rapidly expanding startup environment.
Responsibilities
- Design, construct, and manage ingestion pipelines and connectors utilizing technologies like Fivetran, dbt, and BigQuery to transfer data from various source systems into the warehouse
- Oversee and develop core platform elements encompassing dbt models, the semantic layer, orchestration, and data quality or observability to feed business intelligence tools and internal analytics software
- Collaborate directly with stakeholders across Go-To-Market, Finance, Manufacturing, and Machine Learning divisions to turn business requirements into governed, self-serve data products
- Expand the data platform to accommodate AI and agent-driven workflows by providing governed data access, semantic layers for language models, and necessary scaling guardrails
Requirements
- Minimum of five years of professional background in data engineering, data platforms, or SQL-intensive analytics engineering
- Demonstrated history of developing production-level data ingestion pipelines, connectors, and transformation workflows using tools such as dbt
- Expert proficiency in SQL alongside practical fluency in Python or a similar programming language for automation and platform tooling
- Hands-on familiarity with business intelligence and analytics software like Looker, Hex, or dbt
- Proven ability to cross-functionally gather requirements and achieve consensus concerning data platform decisions
- Experience initiating new data engineering procedures within ambiguous situations
Qualifications
- Background working in healthcare or other regulated, compliance-heavy sectors
- Experience constructing infrastructure to back machine learning, artificial intelligence workflows, or agentic applications powered by large language models
- Familiarity with building pipelines that incorporate compliance handling for personal health information and personally identifiable information in healthcare settings
Core Skills
Benefits
- Healthcare coverage
- Dental coverage
- Mental health support
- Parental planning resources
- Retirement savings options
- Generous paid time off
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the location and remote policy for this role?
This position is remote-based in Ontario, Canada.
What compensation is offered for this position?
The salary range for this full-time role is USD 133,600 to 167,000 per year.
What level of experience is required?
Candidates must have five or more years of experience in a data engineering, data platform, or SQL-heavy analytics engineering role.
What benefits are included?
Dandy provides healthcare, dental coverage, mental health support, parental planning resources, retirement savings options, and generous paid time off.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.