Top Benefits
About the role
About The Company
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.
About The Role
We are seeking an experienced Senior Data Engineer to join McKesson's Technology Pharmaceutical Solutions and Services (PSaS) Data Architecture and Engineering organization. This role is pivotal in designing and implementing advanced data solutions, enabling the organization to leverage data-driven insights for strategic decision-making. The Senior Data Engineer will work collaboratively with cross-functional teams, including data scientists, analysts, BI developers, and platform architects, to develop scalable, governed, and high-performance data products and pipelines. This position plays a critical role in modernizing our supply chain operations by facilitating rapid AI/ML experimentation, operationalizing proven use cases, and monetizing insights to drive business value.
Qualifications
The ideal candidate will possess a bachelor’s degree in computer science, engineering, or a related field. They should have at least seven years of extensive experience in data engineering, with a proven track record of building robust data solutions and products. A minimum of three years of experience in data architecture is required, demonstrating the ability to design enterprise-wide data solutions. Hands-on expertise with cloud platforms such as Azure, Databricks, and Snowflake data warehousing technologies is essential. Relevant certifications in cloud services, data modeling, and data management tools will be considered advantageous.
Responsibilities
Design and deploy cloud-native data applications and pipelines utilizing Azure and Databricks, facilitating advanced analytics and digital capabilities across pharmaceutical business domains. Manage offshore and nearshore teams to deliver validated, governed, and scalable data products, promoting robust metadata management, data lineage, and domain-driven design principles. Collaborate with data and platform architecture teams to ensure data product designs align with enterprise architecture standards and governance frameworks. Establish and enforce best practices for data quality, scalability, and system performance. Provide technical leadership and mentorship to global engineering teams to foster continuous improvement. Develop standardized dimensional models, ontologies, and semantic structures to ensure interoperability and consistency across various data domains. Apply AI-enabled Software Development Life Cycle (SDLC) practices and automation techniques to improve system performance, reduce technical debt, and accelerate the delivery of data products. Drive seamless data integration across multiple platforms, champion modernization efforts through Azure-native technologies, and optimize workflows for performance, reliability, and cost-efficiency.
Benefits
McKesson offers a competitive compensation package as part of our Total Rewards program. Compensation is determined based on factors such as experience, skills, performance, and market conditions. The pay range for this position is between $99,100 and $132,100, with potential additional incentives such as annual bonuses or long-term incentives. We also provide comprehensive health benefits, retirement plans, paid time off, and opportunities for professional development. Our flexible work arrangements support work-life balance, with in-office requirements being two days a week, fostering collaboration and community engagement.
Equal Opportunity
McKesson is an Equal Opportunity Employer. We are committed to creating an inclusive environment where all applicants and employees are treated with respect and fairness, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. We encourage diverse candidates to apply and offer reasonable accommodations to support applicants with disabilities during the hiring process. For more information, please visit our Equal Employment Opportunity page. We do not solicit money or credit card information during our recruitment process, and all official communications will originate from authorized McKesson channels.
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Top Benefits
About the role
About The Company
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.
About The Role
We are seeking an experienced Senior Data Engineer to join McKesson's Technology Pharmaceutical Solutions and Services (PSaS) Data Architecture and Engineering organization. This role is pivotal in designing and implementing advanced data solutions, enabling the organization to leverage data-driven insights for strategic decision-making. The Senior Data Engineer will work collaboratively with cross-functional teams, including data scientists, analysts, BI developers, and platform architects, to develop scalable, governed, and high-performance data products and pipelines. This position plays a critical role in modernizing our supply chain operations by facilitating rapid AI/ML experimentation, operationalizing proven use cases, and monetizing insights to drive business value.
Qualifications
The ideal candidate will possess a bachelor’s degree in computer science, engineering, or a related field. They should have at least seven years of extensive experience in data engineering, with a proven track record of building robust data solutions and products. A minimum of three years of experience in data architecture is required, demonstrating the ability to design enterprise-wide data solutions. Hands-on expertise with cloud platforms such as Azure, Databricks, and Snowflake data warehousing technologies is essential. Relevant certifications in cloud services, data modeling, and data management tools will be considered advantageous.
Responsibilities
Design and deploy cloud-native data applications and pipelines utilizing Azure and Databricks, facilitating advanced analytics and digital capabilities across pharmaceutical business domains. Manage offshore and nearshore teams to deliver validated, governed, and scalable data products, promoting robust metadata management, data lineage, and domain-driven design principles. Collaborate with data and platform architecture teams to ensure data product designs align with enterprise architecture standards and governance frameworks. Establish and enforce best practices for data quality, scalability, and system performance. Provide technical leadership and mentorship to global engineering teams to foster continuous improvement. Develop standardized dimensional models, ontologies, and semantic structures to ensure interoperability and consistency across various data domains. Apply AI-enabled Software Development Life Cycle (SDLC) practices and automation techniques to improve system performance, reduce technical debt, and accelerate the delivery of data products. Drive seamless data integration across multiple platforms, champion modernization efforts through Azure-native technologies, and optimize workflows for performance, reliability, and cost-efficiency.
Benefits
McKesson offers a competitive compensation package as part of our Total Rewards program. Compensation is determined based on factors such as experience, skills, performance, and market conditions. The pay range for this position is between $99,100 and $132,100, with potential additional incentives such as annual bonuses or long-term incentives. We also provide comprehensive health benefits, retirement plans, paid time off, and opportunities for professional development. Our flexible work arrangements support work-life balance, with in-office requirements being two days a week, fostering collaboration and community engagement.
Equal Opportunity
McKesson is an Equal Opportunity Employer. We are committed to creating an inclusive environment where all applicants and employees are treated with respect and fairness, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. We encourage diverse candidates to apply and offer reasonable accommodations to support applicants with disabilities during the hiring process. For more information, please visit our Equal Employment Opportunity page. We do not solicit money or credit card information during our recruitment process, and all official communications will originate from authorized McKesson channels.