[All remote jobs](https://jobicy.com/jobs.md)[![Dandy logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/2321b7db-221-1.jpeg)](https://jobicy.com/company/dandy.md)[Dandy](https://jobicy.com/company/dandy.md) # Senior Data Engineer – Data Infra (Ontario, Canada) Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/dandy.md)ShareRemote from[Canada](https://jobicy.com/job-region/canada.md)SalaryCAD 133,600–167k / yrDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceSeniorPublished30 Oct 2026Apply before29 Nov 2026Listing views35Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Dandy is seeking a senior hands-on data engineer to build and operate its company-wide data infrastructure. The role owns ingestion, warehouse pipelines, dbt models, semantic layers, orchestration, and data observability supporting BI and analytics users. It requires strong SQL, production data-platform experience, Python fluency, and close collaboration with Finance, GTM, Manufacturing, and ML stakeholders. The engineer will also help establish governed data access and guardrails for AI and agent-based workflows. This is a remote full-time role restricted to Ontario, Canada. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThis is a senior platform role requiring ownership across ingestion, transformation, governance, observability, and AI-readiness in a fast-growing company. The candidate must make architecture decisions amid ambiguity while translating needs from multiple technical and business teams. ## Salary analysis Estimated compensation compared with the broader CA market for similar roles. Estimated job median (per year)Market rateC$150,300CA market range (per year)C$130k–C$175k0C$192.50k AI insightThe employer discloses an annual base compensation range of CAD 133,600–167,000, with a midpoint of CAD 150,300 per year. The estimated Canadian market range for a senior data engineer focused on data infrastructure is CAD 130,000–175,000 annually; actual pay may vary by experience, platform scope, and location within Ontario. ## Core skills Skills and capabilities most closely associated with this opportunity. [Data engineering](https://jobicy.com/jobs?search_keywords=Data%20engineering.md)[Data infrastructure](https://jobicy.com/jobs?search_keywords=Data%20infrastructure.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[dbt](https://jobicy.com/jobs?search_keywords=dbt.md)[BigQuery](https://jobicy.com/jobs?search_keywords=BigQuery.md)[Fivetran](https://jobicy.com/jobs?search_keywords=Fivetran.md)[Data pipelines](https://jobicy.com/jobs?search_keywords=Data%20pipelines.md)[Data warehousing](https://jobicy.com/jobs?search_keywords=Data%20warehousing.md)[Data orchestration](https://jobicy.com/jobs?search_keywords=Data%20orchestration.md)[Data observability](https://jobicy.com/jobs?search_keywords=Data%20observability.md)[Looker](https://jobicy.com/jobs?search_keywords=Looker.md)[Semantic layer](https://jobicy.com/jobs?search_keywords=Semantic%20layer.md)[Data governance](https://jobicy.com/jobs?search_keywords=Data%20governance.md)[LLM data platforms](https://jobicy.com/jobs?search_keywords=LLM%20data%20platforms.md) Sample interview questionsHow would you design a reliable ingestion platform for data from many operational source systems?I would standardize connector selection, ingestion patterns, schema-change handling, metadata capture, retries, and alerting. I would separate raw landing from modeled layers, define data ownership, and implement monitoring for freshness, volume, completeness, and failed loads. Describe how you would structure dbt models and a semantic layer for broad self-service analytics use. I would use layered models, with clearly documented staging, intermediate, and curated business marts. I would define shared metrics and dimensions in the semantic layer, enforce tests and lineage, and partner with domain owners to ensure definitions are governed and understandable. What practices would you use to make a data platform safe for LLM or agent-based workflows? I would enforce least-privilege access, classify sensitive data, expose approved semantic definitions rather than raw unrestricted tables, and log agent queries and outputs. I would also use policy controls, masking where needed, validation guardrails, and human review for high-risk actions. How do you approach a stakeholder request when business definitions are ambiguous or teams disagree? I begin by clarifying the decision the data must support, identifying current definitions and source-of-truth systems, and documenting trade-offs. I facilitate alignment around a measurable definition, obtain explicit ownership, and deliver a versioned model with transparent assumptions. Tell us about troubleshooting a production data-quality incident. I would first assess impact and stop downstream propagation where necessary, then use lineage and observability signals to isolate the failing source, transformation, or schema change. After restoring accurate data, I would backfill affected records, communicate the resolution, and add tests or monitoring to prevent recurrence. Opportunity details ## About this 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](https://www.meetdandy.com/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](https://www.meetdandy.com/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](https://www.meetdandy.com/privacy-requests/). 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