Data Specialist

About The Company

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.

About The Role

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.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, or a related field, or equivalent experience.
• Minimum of 4+ years of relevant experience in data engineering, database engineering, or related technical disciplines.
• Strong expertise in SQL and relational database technologies with at least 3+ years of hands-on experience.
• Proficiency in Python development and automation for at least 2+ years.
• Experience working with Databricks, Spark, or modern cloud-based data engineering platforms for 2+ years.
• Familiarity with Business Intelligence tools such as Power BI and Tableau.
• Experience working in Agile development environments and utilizing GitHub and CI/CD processes.
• Strong analytical, troubleshooting, and problem-solving skills.
  
  

Responsibilities

• Design, develop, and maintain scalable data pipelines utilizing Databricks, Delta Lake, Apache Spark, SQL, and Python to support enterprise data needs.
• Build and optimize ETL/ELT processes to facilitate accurate and timely reporting, analytics, and operational data workflows.
• Develop efficient data models and database solutions to enable high-performance analytics and business intelligence workloads.
• Collaborate with engineering, product, analytics, and business teams to translate requirements into scalable data solutions that meet organizational needs.
• Ensure data quality, integrity, governance, and security across healthcare data platforms in compliance with regulatory standards.
• Support ingestion, transformation, and integration of datasets relevant to healthcare use cases, ensuring data consistency and reliability.
• Implement data validation, monitoring, and observability processes to maintain data reliability and operational excellence.
• Design and support workflow orchestration solutions using Databricks Workflows, Apache Airflow, or similar tools for automated data pipelines.
• Contribute to cloud-based data modernization initiatives and enterprise analytics platform development.
• Develop and maintain CI/CD pipelines and deployment processes utilizing GitHub and modern DevOps practices to streamline development and deployment cycles.
• Apply AI-assisted development tools such as GitHub Copilot or Claude Code to enhance engineering productivity, code quality, and documentation.
• Participate in Agile ceremonies, including sprint planning, backlog refinement, and retrospectives, to ensure continuous improvement.
• Troubleshoot complex data and performance issues, providing sustainable and scalable solutions.
• Work effectively with cross-functional teams across engineering, architecture, product management, analytics, and operations to deliver high-quality data solutions.
  
  

Benefits

McKesson offers a comprehensive and competitive compensation package as part of our Total Rewards program. Compensation is determined based on factors such as experience, skills, performance, and market conditions, and includes base salary, annual bonuses, and long-term incentive opportunities. We also provide a robust benefits package that includes health insurance, retirement plans, paid time off, and professional development opportunities. Our workplace promotes a healthy work-life balance with flexible work arrangements and a collaborative environment aimed at fostering growth and innovation.

Equal Opportunity

McKesson is an Equal Opportunity Employer. We provide equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. We are committed to creating an inclusive environment where everyone can thrive. If you require a reasonable accommodation during the application process, please contact us by email. Resumes or CVs submitted via email will not be accepted. For more information about our policies, please visit our Equal Employment Opportunity page.