Staff Data Engineer building pipelines, models, and infrastructure for exacare ai’s post - acute care AI platform. Turning healthcare data into reliable foundations for product, analytics, and ML workflows.
About the role
- Senior Data Engineer building trusted Snowflake data products for Granum’s landscaper and arborist software ecosystem. Operating governed pipelines that power analytics, AI, and operational decisions.
Responsibilities
- Build and maintain trusted internal data products supporting analytics, AI, and operational workflows across Granum
- Design and operate scalable data pipelines and platform workflows using Snowflake, dbt, Fivetran, Terraform, and related tooling
- Improve data quality, validation, observability, and recoverability across critical datasets and workflows
- Own semantic consistency across upstream models, downstream consumption layers, and governed business definitions
- Design and implement governance controls including permissions, masking, privacy-aware access patterns, and operational guardrails
- Partner with product, engineering, and business stakeholders to turn ambiguous data needs into reliable internal platform capabilities
- Drive platform improvements through automation, cleaner workflow design, and stronger operating patterns
- Contribute technical direction for internal data platform work and raise the quality bar for data systems
- Adopt and contribute to agentic workflows as part of standard engineering practice
Requirements
- Strong experience building and operating data platforms in Snowflake-centric environments
- Strong experience with dbt or a comparable transformation framework
- Hands-on experience with Terraform or similar infrastructure-as-code tooling
- Hands-on experience with a governed semantic or BI modeling layer (Omni, LookML, dbt Semantic Layer, or similar)
- Experience designing reliable workflows for ingestion, transformation, validation, and scheduled operational processes, including CI/CD in GitHub
- Strong SQL skills and a track record of building trusted datasets
- Demonstrated ownership of production-grade data systems, including monitoring, troubleshooting, and incident follow-through
- Ability to communicate clearly, drive decisions, and take ambiguous work through to a complete outcome
- Willingness and ability to work within a team where agentic development is expected
- Candidates must have proper work authorization to work for any employer in Canada or the U.S., without sponsorship
- Nice to have: Experience with Azure Data Factory, Airflow, or similar orchestration tools
- Nice to have: Experience with Omni or similar governed analytics platforms
- Nice to have: Experience supporting AI-enabled workflows, internal tooling, or knowledge-driven applications
- Nice to have: Experience with privacy, access control, and governance patterns in modern cloud data platforms
- Nice to have: Experience working across multiple data domains or products with shared platform standards
Benefits
- Comprehensive medical, dental, and vision coverage with multiple plan options for U.S. employees
- HSA/FSA accounts
- Disability and life insurance
- Employer-funded HSA-based benefits plan with drug, dental, and mental health coverage for Canada employees
- 401(k) matching for U.S. employees
- RRSP matching for Canada employees
- Tailored career development conversations
- Support for tools, courses, and resources
- Unlimited Paid Time Off
- Paid company holidays
- Company-wide winter break from December 24 to January 1
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