Build healthcare data platforms at McKesson using Databricks and Python while working in a Flex and Connect model with two office days weekly.

McKesson Provider Solutions seeks a hands-on Data Specialist supporting enterprise-scale healthcare data platforms. You will design pipelines, up-to-date analytics solutions, and cloud-based engineering capabilities for reporting and data-driven decisions. The work combines SQL, Python, Databricks, Power BI, Tableau, and healthcare data governance.

Key Responsibilities: Design scalable pipelines with Databricks, Delta Lake, Spark, SQL, and Python

Build ETL and ELT processes for reporting and analytics

Develop data models for high-performance business intelligence workloads

Implement validation, monitoring, observability,



governance, and security

Support orchestration, CI/CD, and cloud modernization initiatives

Requirements: Bachelor’s degree or equivalent experience in a related field

Four years of relevant experience

Three years using SQL and relational databases

Two years using Python and Databricks or Spark

Experience with Power BI, Tableau, Agile, GitHub, and CI/CD

Apply healthcare data engineering expertise across Databricks, SQL, Python, analytics, governance, and scalable platform delivery at McKesson.

📌 Healthcare Data Engineer Databricks (Canada)
🏢 McKesson
📍 Canada