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Dandy

Senior Data Engineer – Data Infra

Dandy

. Design, build, and operate ingestion pipelines and connectors such as Fivetran, dbt, and BigQuery .

Posted 9/23/2026full-timeRemote • CanadaSenior💰 CA$133,600 - CA$167,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and operating data ingestion pipelines and connectors, with a strong focus on SQL, Python, and BI tools like dbt and Power BI. Proven ability to collaborate across teams to translate business needs into effective data products while ensuring compliance in regulated environments.

Highest-signal resume keywords
Expert-Level SQLData Ingestion Pipeline DevelopmentPython for AutomationExperience with dbt and BI ToolsCompliance Handling for PHI/PII Data

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringSQLPythonData Ingestion PipelinesData Transformation WorkflowsData Quality/ObservabilityOrchestrationML/AI Workflow InfrastructureLookerHex
Soft Skills
Intellectual CuriosityTroubleshootingCollaborationConsensus BuildingProblem-Solving
Tools & Technologies
FivetranDbtBigQueryPower BIAnalytics Applications
Industry Keywords
HealthcareComplianceRegulated EnvironmentsPHIPII

Tech Stack

Tools & technologies
BigQueryPythonSQL

About the role

Key responsibilities & impact
  • Design, build, and operate ingestion pipelines and connectors such as Fivetran, dbt, and BigQuery
  • Reliably land data from disparate source systems into the warehouse
  • Own and evolve dbt models, the semantic layer, data quality/observability, and orchestration
  • Power BI tools and internal analytics applications
  • Partner with Finance, GTM, Manufacturing, and ML stakeholders to translate business needs into governed, self-serve data products
  • Extend the platform to support AI and agent-based workflows, including governed data access, LLM/agent-usable semantic layers, and safety guardrails at scale

Requirements

What you’ll need
  • 5+ years of experience in a data engineering, data platform, or SQL-heavy analytics engineering role
  • Track record of building data ingestion pipelines, connectors, and transformation workflows in production
  • Expert-level SQL
  • 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
  • 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 fix problems hands-on
  • Intellectual curiosity and strong troubleshooting instincts
  • Exposure to healthcare or other regulated, compliance-heavy environments is a bonus
  • Experience building infrastructure supporting ML/AI workflows or agentic, LLM-powered products is a bonus
  • Experience building pipelines with compliance handling for PHI/PII data, particularly in healthcare, is a bonus
  • Legally entitled to work in Canada
  • Fluency in spoken and written English

Benefits

Comp & perks
  • Healthcare
  • Dental benefits
  • Mental health support
  • Parental planning resources
  • Retirement savings options
  • Generous paid time off
  • Equity
  • Bonus