AI Data Engineer

Entity: WELL Health Technologies Corp.

Position Title: AI Data Engineer

Job Class: Full time

Work Location: Remote, Canada

Salary Range: $130k - $160k CAD per annum

About The Company

WELL’s mission is to tech-enable healthcare providers. We do this by developing the best technologies, services, and support available, which ensures healthcare providers are empowered to positively impact patient outcomes. WELL’s comprehensive healthcare and digital platform includes extensive front and back-office management software applications that help physicians run and secure their practices. WELL’s solutions enable more than 42,000 healthcare providers between the US and Canada and power the largest owned and operated healthcare ecosystem in Canada with more than 220 clinics supporting primary care, specialized care, and diagnostic services. In the United States WELL’s solutions are focused on specialized markets such as the gastrointestinal market, women’s health, primary care, and mental health. WELL, is publicly traded on the Toronto Stock Exchange under the symbol “WELL” and on the OTC Exchange under the symbol “WHTCF”. To learn more about the Company, please visit: www.well.company. 

Position Summary

As an AI Data Engineer within the AI Center of Excellence (CoE), this role is focused on data engineering to underpin critical business automations, reporting, and AI. Working in collaboration with business stakeholders, AI Business Automation Analysts, AI Automation Engineers, Data Services team, and Cloud Engineers, the role is responsible for the design and build of data pipelines that power AI-enabled business solutions and automations. You will work closely with stakeholders in HR, Finance, Legal, and business units to ensure that clean, structured, and timely data flows underpin our AI and automation workflows. The target is to provide a data platform that enables self-serve access data to enable the business to proceed at pace.

What You Will Be Doing

The scope of this role includes, but is not limited to:

• Design, develop, and maintain data pipelines using Azure Data Factory, FiveTran, Snowflake, and SQL-based transformations.
• Build integrations between distributed source systems (e.g., EMRs, HRIS, finance tools) and a central Snowflake data lake.
• Develop ETL/ELT processes to ingest, cleanse, deduplicate, and structure data for downstream use in AI workflows, reports, or CRM platforms.
• Enable real-time or batch data processing to support automation and AI/ML applications (e.g., for consent tracking, document parsing, analytics, or forecasting).
• Collaborate with business analysts and automation engineers to map data requirements to process flows.
• Implement data quality monitoring, error handling, and audit logging.
• Ensure compliance with privacy, security, and data residency requirements.
• Create and maintain data documentation, data dictionaries, and lineage tracking.
• Contribute to the broader AI and automation enablement strategy, including enabling AI-driven pipelines or model scoring.
• The position is expected to analyze complex problems and develop solutions that are aligned with best practice and compliant with industry standards.
  
  

You Have

• 3–5+ years of experience in data engineering, data integration, or ETL development.
• Strong experience with Azure Data Factory, Azure Synapse, MSFT Power Automate, or Snowflake.
• Experience working with Snowflake and writing efficient SQL for large-scale datasets.
• Proficient in building data ingestion and transformation pipelines (both batch and real-time).
• Familiarity with Python for custom data logic or transformation.
• Exposure to AI/ML workflows or integrating models into pipelines.
• Understanding of data governance, privacy (e.g., HIPAA, PIPEDA), and security best practices.
• Experience collaborating in cross-functional teams (e.g., analysts, automation engineers, business users).
• Experience with CI/CD, Github, and workflow orchestration tools (e.g., n8n).
  
  

The salary offered for this position falls within a specified salary range and will be determined based on a variety of factors, including but not limited to the candidate's experience, qualifications, skills, and the specific needs of the organization. At WELL, we believe in fair and equitable compensation, and our goal is to offer a competitive salary that reflects the value and expertise of the selected candidate.

WELL, is committed to supporting a diverse, inclusive, and accessible workplace. We welcome and celebrate the diversity of applicants and team members across ability, race, gender identity, sexual orientation, and perspective. We strive to create an inclusive workplace where differences are celebrated and fuel our success – this is the WELL Way!

WELL has been independently certified as a Great Place to Work by Great Place to Work Institute Canada, an achievement that reflects the company’s strong commitment to creating a workplace culture centered on trust, inclusivity, and employee well-being, aligning with its ‘Healthy Place to Work’ ESG strategy pillar.

Want Read more about us: https://stories.well.company/

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