Data Specialist

Salary: $81,500 - 108,600 per year Requirements: Bachelors 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 GitHub and CI/CD processes Strong analytical, troubleshooting, and problem-solving skills Hands-on expertise with Databricks, Delta Lake, and Apache Spark; advanced SQL skills for complex queries, performance tuning, data modeling, and optimization; and 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 GitHub source control practices, including branch protections, pull request reviews, release management, and version control Experience building and maintaining CI/CD pipelines, including with GitHub Actions, and familiarity with automated testing, deployment automation, and infrastructure best practices Experience using AI development tools such as Claude Code, GitHub Copilot, or equivalent Preferred: 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 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 GitHub and modern DevOps 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 Technologies: AI Airflow Azure Business Intelligence CI/CD Claude Code Cloud Copilot Databricks DevOps ETL GitHub HL7 Support Machine Learning Power BI Python SQL Security Spark Tableau More: We are McKesson, an impact-driven Fortune 10 company working across healthcare to make quality care more accessible and affordable. At McKesson, we support growth, new ideas, and meaningful contributions as we work to shape the future of health for patients, communities, and our people. Our Provider Solutions team is seeking a hands-on Data Specialist to help build and improve enterprise healthcare data platforms, analytics, and cloud data engineering capabilities. The role works closely with engineering, analytics, product, and business teams and supports healthcare data governance and regulatory compliance. This is a Flex and Connect position requiring two days per week in the office. We offer a competitive total rewards package, with base pay of $81,500–$108,600 and potential annual bonus or long-term incentives. We are an equal opportunity employer. last updated 41 week of 2026