Senior Data Engineer - Data Infra (Canada)

Dandy

• $110K — $130K *
US-AnywhereRemote in Canada
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in data engineering or SQL-heavy analytics roles, ideally in fast-paced startups.
  • Proven experience in building and managing data ingestion pipelines and transformation workflows.
  • Expert-level SQL skills and proficiency in Python or similar languages for automation.
  • Hands-on experience with Looker, Hex, dbt, or equivalent analytics tools.
  • Ability to collaborate effectively across teams to gather requirements and build consensus.
  • Experience in establishing new data engineering processes amidst ambiguity.
  • Strong troubleshooting abilities and a proactive approach to solving problems.

Responsibilities

  • Design and build ingestion pipelines and connectors to input data from various source systems.
  • Manage and enhance core components of the data platform, including dbt models and data quality observability.
  • Collaborate with stakeholders from Finance, GTM, Manufacturing, and ML to create self-serve data products.
  • Extend the platform to facilitate AI-driven workflows and ensure governed data access.
  • Implement guardrails for data usage to maintain scalability and safety.

Benefits

  • Comprehensive healthcare and dental coverage.
  • Mental health support services.
  • Parental planning resources.
  • Retirement savings options.
  • Generous paid time off policies.
Full Job Description
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.

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.

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