Data Analytics Engineer

McKesson is hiring a Data Analytics Engineer to design, implement, and own scalable data solutions for US Oncology datasets. The role focuses on improving data quality, reducing technical debt, managing data lifecycles, and building governed, reusable datasets and dimensional models for analytics and operational reporting. Responsibilities Data Quality Engineering: Design and implement reusable validations for completeness, accuracy, timeliness, consistency, and compliance with business rules; incorporate controls into regular pipeline monitoring and validationTechnical Debt Reduction: Identify and resolve high-impact technical debt by standardizing engineering patterns, simplifying data flows, and improving the reliability, scalability, and supportability of existing solutionsData Lifecycle Management: Design, test, document, and implement a governed, auditable purge process that supports retention expectations, reduces unnecessary storage, and protects downstream dependenciesConsolid