Data Specialist

Salary: $81, 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 experience4+ years in data engineering, database engineering, software engineering, or a related technical field3+ years of hands-on SQL and relational database experience2+ years of Python development and automation experience2+ 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; 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 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

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 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

Technologies: AIAirflow Azure Business  IntelligenceCI/CDClaude Code Cloud Copilot Databricks Dev Ops ETLGitHubHL7

Support Machine Learning Power BIPythonSQLSecurity 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