Data Specialist

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 tomorrows health today we want to hear from you.

McKesson Provider Solutions is seeking a highly motivated and hands-on DataSpecialistto 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 use cases.

• Implement data validation monitoring and observability processes to ensure data reliability and operational excellence.

• Design and support workflow orchestration solutions using Databricks Workflows Apache Airflow or similar tools.

• Contribute to cloud-based data modernization initiatives and enterprise analytics platforms.

• Develop and maintain CI/CD pipelines and deployment processes utilizing GitHub and modern DevOps practices.

• Apply AI-assisted development tools to improve engineering productivity code quality testing documentation and overall delivery efficiency.

• Participate in Agile ceremonies including sprint planning backlog refinement estimation and retrospectives.

• Troubleshoot complex data and performance issues and implement sustainable solutions.

• Collaborate effectively with cross-functional teams across engineering architecture product management analytics and operations.

Minimum Requirements

• Degree Bachelors degree in Computer Science Software Engineering Information Systems Data Science or a related field or equivalent experience

• 4 years of relevant experience.

Critical Skills

• 4 years of experience in data engineering database engineering software engineering or a related technical discipline.

• 3 years of hands-on experience with SQL and relational database technologies.

• 2 years of experience with Python development and automation.

• 2 years of experience with Databricks Spark or modern cloud-based data engineering platforms.

• Experience with Power BI and/or Tableau.

• Experience working in Agile development environments.

• Experience using GitHub and CI/CD processes.

• Strong analytical troubleshooting and problem-solving capabilities.
  

Technical SkillsData Engineering & Platform Technologies

• Strong hands-on experience with Databricks including Delta Lake and Apache Spark.
• Advanced proficiency in SQL for complex queries performance tuning data modeling and optimization.
• Strong programming expertise in Python for automation data processing integration and analytics.
• Experience designing and maintaining enterprise-scale data pipelines and data processing frameworks.
• Experience with workflow orchestration platforms such as Databricks Workflows Apache Airflow or equivalent technologies.
• Understanding of modern data warehousing lakehouse architectures and analytics best practices.
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• Strong knowledge of GitHub-based source control including branch protection policies pull request reviews release management and version control best practices
• Experience implementing and maintaining CI/CD pipelines using GitHub Actions to automate build testing security validation and deployment processes
• Familiarity with automated testing deployment automation and infrastructure best practices
• Experience working within Agile software development methodologies
• Experience leveraging AI development tools such as Claude Code GitHub Copilot or equivalent solutions.

Preferred Qualifications

• Experience working in Azure cloud environments.
• Familiarity with Databricks Delta Lake Lakehouse architectures and modern data platform design.
• Experience supporting large-scale healthcare analytics platforms.
• Experience with healthcare interoperability standards such as HL7 or FHIR.
• Experience implementing data quality frameworks and data observability solutions.
• Experience supporting enterprise reporting modernization initiatives.
• Exposure to machine learning predictive analytics or AI-enabled healthcare solutions.

Working Conditions:

• In office requirement we are Flex and Connect with 2 days a week in office

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors including performance experience and skills equity regular job market evaluations and geographical markets. The pay range shown below is aligned with McKessons pay philosophy and pay will always be compliant with any applicable regulations. In addition to base pay other compensation such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson pleaseclick here.

Our Base Pay Range for this position

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McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to 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. For additional information on McKessons full Equal Employment Opportunity policies visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!