McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.
McKesson Provider Solutions is seeking a highly motivated and hands-on Data Specialist to support the design, development, and optimization of enterprise-scale healthcare data platforms. This role will play a critical part in building scalable data pipelines, modern analytics solutions, and cloud-based data engineering capabilities that power reporting, insights, and data-driven decision making across the organization.
The ideal candidate combines deep technical expertise in Databricks, SQL, Python, and modern Business Intelligence platforms such as Power BI and Tableau with a strong understanding of healthcare data. This individual will collaborate closely with engineering, analytics, product, and business stakeholders to deliver reliable, high-performing, and scalable data solutions while ensuring compliance with healthcare data governance and regulatory requirements.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Databricks, Delta Lake, Apache Spark, SQL, and Python.
- Build and optimize ETL/ELT processes to support enterprise reporting, analytics, and operational data needs.
- Develop efficient data models and database solutions to enable high-performance analytics and business intelligence workloads.
- Partner with Forward Deployed Engineer, business stakeholders, product teams, and analytics teams to translate business requirements into scalable data solutions.
- Ensure data quality, integrity, governance, and security across healthcare data platforms.
- Support ingestion, transformation, and integration of datasets relevant to business