Data Engineer

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. They are seeking a hands-on Data Engineer to design, develop, and support scalable data pipelines and data solutions, ultimately helping to get more people the medicine they need to live healthier lives.

Responsibilities:

• Design, build, and maintain scalable data pipelines that support reporting, analytics, and operational business needs
• Develop data ingestion and integration processes from a variety of structured and unstructured data sources
• Create and optimize data transformations using SQL, Databricks, and Azure-based technologies
• Support both batch and real-time data processing solutions
• Implement data quality, validation, and monitoring processes to ensure trusted and reliable data assets
• Troubleshoot and resolve data pipeline performance, reliability, and data quality issues
• Develop conceptual and logical data models based on business reporting requirements
• Partner with business stakeholders, analysts, and technology teams to understand data needs and translate them into scalable solutions
• Work with application development teams to understand source systems and build efficient data flows into enterprise data environments
• Support data governance initiatives through standardization, documentation, and quality controls
• Partner closely with Data Systems Analysts, Analytics teams, and Technology partners to solve business problems with data
• Communicate technical concepts clearly to both technical and non-technical audiences
• Leverage modern engineering practices and AI-assisted development tools to improve solution delivery and efficiency
• Share knowledge and provide guidance to less experienced team members

Requirements:

• Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience
• 4+ years of experience in a dedicated Data Engineering role
• 4+ years of hands-on experience building and supporting data pipelines and data integration solutions
• Strong experience with Databricks in a production environment
• Strong SQL development skills
• Experience working with Azure-based data services
• Experience supporting reporting, analytics, systems integration, and data governance initiatives
• Demonstrated expertise in conceptual and logical data modeling
• Experience working with both structured and unstructured data
• Strong written and verbal communication skills
• Experience with data streaming and event-driven architectures such as Kafka
• Experience with Infrastructure as Code tools such as Terraform
• Experience supporting large-scale cloud migration or modernization programs
• Familiarity with AI-assisted development tools such as Claude Code, GitHub Copilot, or similar technologies
• Experience supporting business-critical applications and highly available data platforms
• Experience mentoring junior engineers or providing technical guidance within a collaborative team environment