Working across healthcare to make quality care more accessible and affordable, the Data Specialist helps build and improve enterprise healthcare data platforms, analytics, and cloud data engineering capabilities. This role works closely with engineering, analytics, product, and business teams and supports healthcare data governance and regulatory compliance.
Responsibilities
Design, develop, and maintain scalable data pipelines using Databricks, Delta Lake, Apache Spark, SQL, and Python
Build and optimize ETL/ELT processes for enterprise reporting, analytics, and operational data needs
Create efficient data models and database solutions for high-performance analytics and business intelligence
Work with Forward Deployed Engineers and business, product, and analytics stakeholders to turn business needs into scalable data solutions
Maintain data quality, integrity, governance, and security across healthcare data platforms
Support the ingestion, transformation, and integration of datasets for business use cases
Establish data validation, monitoring, and observability practices to support reliable operations
Design and support workflow orchestration using Databricks Workflows, Apache Airflow, or similar tools
Contribute to cloud data modernization and enterprise analytics platform initiatives
Develop and maintain CI/CD pipelines and deployment processes using Git Hub and modern Dev Ops practices
Use AI-assisted development tools to improve engineering productivity, code quality, testing, documentation, and delivery efficiency
Participate in Agile activities, including sprint planning, backlog refinement, estimation, and retrospectives
Diagnose complex data and performance issues and implement sustainable solutions
Collaborate with teams across engineering, architecture, product management, analytics, and operations
Requirements
Bachelor's degree in computer science, software engineering, information systems, data science, or a related discipline, or equivalent experience
At least 4 years of relevant professional experience
4+ years in data engineering, database engineering, software engineering, or a related technical field
3+ years of hands-on SQL and relational database experience
2+ years of Python development and automation experience
2+ years using Databricks, Spark, or modern cloud data engineering platforms
Experience with Power BI and/or Tableau
Experience working in Agile development environments and using Git Hub and CI/CD processes
Strong analytical, troubleshooting, and problem-solving skills
Hands-on expertise with Databricks, Delta Lake, and Apache Spark
Millions of jobs, with real people getting hired every day
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Tailored applications submitted
Advanced SQL skills for complex queries, performance tuning, data modeling, and optimization
Strong Python programming skills for automation, data processing, integration, and analytics
Experience designing and maintaining enterprise-scale data pipelines and processing frameworks
Experience with workflow orchestration tools such as Databricks Workflows, Apache Airflow, or equivalent technologies
Understanding of modern data warehousing, lakehouse architectures, and analytics best practices
Knowledge of Git Hub source control practices, including branch protections, pull request reviews, release management, and version control
Experience building and maintaining CI/CD pipelines, including with Git Hub Actions, and familiarity with automated testing, deployment automation, and infrastructure best practices
Experience using AI development tools such as Claude Code, Git Hub Copilot, or equivalent
Nice to have:
Experience with Azure, large-scale healthcare analytics platforms, HL7 or FHIR, data quality frameworks, data observability, enterprise reporting modernization, or machine learning, predictive analytics, and AI-enabled healthcare solutions
Benefits
Potential annual bonus or long-term incentives
Important Details
Work format: Flex and Connect, requiring two days per week in the office
About the Company
McKesson is an impact-driven Fortune 10 company working across healthcare to make quality care more accessible and affordable. At McKesson, the company supports growth, new ideas, and meaningful contributions as it works to shape the future of health for patients, communities, and its people.
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