Senior Data Engineer building Dandy’s data infrastructure for its technology - powered dental operating system. Developing pipelines, governed data products, and AI - ready platform capabilities.
About the role
- Data Engineer owning Jim Peplinski Capital’s fleet-financing data platform. Building pipelines, governance, customer data shares, and the Power BI-to-Superset analytics migration.
Responsibilities
- Own JPC’s data platform end-to-end, including pipelines, warehouse, customer data shares, governance, and analytics layer
- Run Snowflake warehouses, RBAC, cost management, and performance as production systems
- Run Airbyte connector health, sync reliability, schema changes, and incident response
- Build and operate pipelines from core operational systems and third-party fuel, maintenance, telematics, and internal systems
- Deliver internal integrations between business systems using the warehouse where appropriate
- Own secure, correct, and customer-isolated data shares
- Classify data including PII, conduct access reviews and retention, monitor data quality, and define trusted datasets
- Serve as the named owner for data questions from customers and vendors
- Lead the migration from Power BI to Superset, including models, dashboards, access, and adoption
- Keep production dashboards running and onboard new pipelines smoothly
- Partner with Product, Operations, Sales, Finance, and Executive teams
- Teach teams to self-serve data rather than queue behind the data function
- Use AI tooling to accelerate analysis, pipeline development, and iteration
- Shape technology choices as the data stack evolves
Requirements
- 4+ years of experience in data engineering, analytics engineering, or a data platform role, with real production ownership
- Strong Snowflake experience, including administration, RBAC, performance, and cost tuning
- Expert SQL and comfort modeling business data for analytics
- Hands-on experience running Airbyte or a comparable ELT tool such as Fivetran or Meltano in production
- BI platform experience, such as Tableau or Superset, with understanding of semantic modeling
- Practical data governance experience, including classification, access control, and retention
- Working fluency with Jira and GitHub
- Clear communication with non-technical stakeholders, including the Executive team and customers
- Track record of owning and delivering projects end-to-end
- Experience with commercial credit or lending analytics, ideally from automotive or financial services background
- Experience with dbt or similar transformation frameworks
- Direct experience with Snowflake data shares
- Python for pipeline glue and automation
- Experience integrating AI tools into day-to-day workflow
- Must be based in Calgary or the Greater Toronto Area
- Must complete the application survey for consideration
Benefits
- Competitive compensation
- Performance bonus
- Comprehensive benefits
- Other employer supported benefits from day one
- Hybrid work arrangement
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
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