Data Analytics Engineer

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. As a Data Analytics Engineer, you will design, implement, and own data solutions for US Oncology data sets, focusing on data architecture, integration, and performance optimization to support business goals.

Responsibilities:

• Develop and maintain areas including data models, data pipelines, and technical specifications to support business goals and analytics initiatives
• Leverage cloud systems such as Databricks for data processing, analytics, and machine learning tasks, ensuring optimal performance and cost efficiency
• Design and implement processes for data integration within a medallion architecture to ensure seamless data flow across various systems
• Continuously monitor and optimize data processes, ensuring high performance, reliability, and scalability
• Participate in setting comprehensive data strategy goals for the team in alignment with business needs
• Work closely with data engineers, stakeholders, and business partners to understand and/or communicate project requirements. Help influence projects to drive the best results related to data quality, architecture and management
• Stay current with emerging technologies and industry trends and recommend innovative solutions to enhance our data architecture
• Drive technical projects forward by partnering with 2nd- and 3rd-party partners, including other internal McKesson teams

Requirements:

• Degree or equivalent and typically requires 4+ years of relevant experience
• 4+ years of experience in data engineering, software development, computer science or related field
• Experience with data modeling, database design, and data warehousing
• Ability to communicate complex concepts to non-technical stakeholders
• Understanding of data governance, data security, and data quality best practices
• Must be comfortable and proficient working with large and/or complex databases
• 3+ years' experience in database development with Snowflake or Databricks preferred
• 3+ years' experience with application development with Python preferred
• Healthcare experience a plus
• Working knowledge with project management tools like Jira, Asana
• Strong knowledge of cloud platforms with Azure preferred
• Knowledge of data visualization tools such as Power BI, Tableau, or Looker