Data Specialist

Job summary

Design, build, and optimize scalable healthcare data pipelines, ETL/ELT processes, data models, and cloud analytics solutions using Databricks, Spark, SQL, and Python. Maintain data quality, governance, security, monitoring, orchestration, and CI/CD practices while collaborating with cross-functional teams and supporting enterprise data modernization.

Job details

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. 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 or related disciplines. Strong technical skills including experience with SQL, Python, Databricks, Spark, and cloud-based data platforms. Hands-on experience with Power BI and Tableau for data visualization and reporting. Proven experience working within Agile development environments and utilizing GitHub and CI/CD pipelines. Excellent analytical, troubleshooting, and problem-solving capabilities. 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 reporting, analytics, and operational workflows. Create efficient data models and database solutions to enable high-performance analytics and business intelligence workloads. Collaborate with stakeholders across engineering, product, and analytics teams to translate business requirements into scalable data solutions. 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 various healthcare use cases. Implement data validation, monitoring, and observability processes to maintain data reliability and operational excellence. Design and support workflow orchestration solutions using tools such as Databricks Workflows and Apache Airflow. 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. Leverage AI-assisted development tools to enhance engineering productivity, code quality, and testing. Participate in Agile ceremonies including sprint planning, backlog refinement, and retrospectives. Troubleshoot complex data and performance issues, implementing sustainable solutions. Collaborate effectively with cross-functional teams to achieve project goals and ensure data platform success. Benefits McKesson offers a competitive total rewards package that includes base salary, performance incentives, and long-term incentives where applicable. Our benefits program is designed to support the health, well-being, and financial security of our employees and their families. These benefits include comprehensive health insurance, retirement plans, paid time off, professional development opportunities, and more. We are committed to fostering a work environment that promotes growth, diversity, and inclusion, ensuring our team members thrive both professionally and personally. 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 that values diversity and promotes fairness. If you need a reasonable accommodation during the application process, please contact us via the appropriate channels. For more information on our Equal Employment Opportunity policies, please visit our website.

What you’ll do

Design, build, and optimize scalable healthcare data pipelines, ETL/ELT processes, data models, and cloud analytics solutions using Databricks, Spark, SQL, and Python. Maintain data quality, governance, security, monitoring, orchestration, and CI/CD practices while collaborating with cross-functional teams and supporting enterprise data modernization.

Requirements

Requires a bachelor's degree in a related field or equivalent experience, plus at least four years of relevant data engineering experience. Candidates should have strong SQL, Python, Databricks, Spark, cloud data platform, Power BI, and Tableau experience, along with Agile, GitHub, and CI/CD experience.

Benefits

• Health Insurance
• Retirement Plans
• Paid Time Off
• Performance Incentives
• Long-Term Incentives
• Professional Development

Listed skills

• SQL · Preferred
• Python · Preferred
• Power BI · Preferred
• Tableau · Preferred
• GitHub · Preferred
• CI/CD · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• SQL
• Python
• Databricks
• Apache Spark
• Delta Lake
• Data Engineering
• ETL/ELT
• Power BI
• Tableau
• Cloud Data Platforms
• Data Modeling
• Data Governance
• Data Quality
• Apache Airflow
• GitHub
• CI/CD

Job areas

• Data & Analytics
• Technology
• Software
• Healthcare
• Engineering

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