Data Engineer

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.

Every single McKesson employee contributes to our mission—by joining McKesson you act as a catalyst in a chain of events that helps millions of people all over the globe. Talented, compassionate people are the future of our company—and of healthcare. At McKesson, you’ll collaborate on the products and solutions that help us carry out our mission to improve lives and advance healthcare. Working here is your opportunity to shape an industry that’s vital to us all.

Wherever you contribute here at McKesson, you will have the ability to make a real impact in the lives of others.

Position Description

As a Data Engineer at McKesson, you will play a crucial role in designing, constructing, and maintaining data architectures, databases, and large-scale processing systems. You will collaborate closely with cross-functional teams to develop efficient data pipelines and contribute to our organization's data modernization efforts. This position requires a deep understanding of data engineering principles, cloud technologies, and a commitment to delivering high-quality solutions.

Key Accountabilities:

• Design and implement scalable and efficient data pipelines to support various data-driven initiatives.

• Collaborate with cross-functional teams to understand data requirements and contribute to the development of data architectures.

• Work on data integration projects, ensuring seamless and optimized data flow between systems.

• Implement best practices for data engineering, ensuring data quality, reliability, and performance.

• Contribute to data modernization efforts by leveraging cloud solutions and optimizing data processing workflows.

• Demonstrate technical leadership by staying abreast of emerging data engineering technologies and implementing industry best practices.

• Effectively communicate technical concepts to both technical and non-technical stakeholders.

• Collaborate with the team to address unique challenges in talent attraction, development, and retention.

Minimum Requirements:

4+ years of experience of relevant experience

Critical Skills:

• 4+ years of experience of professional experience in IT data and analytics field

• Proven experience as a Data Engineer or in a similar role.

• Deep technical expertise in building and optimizing data pipelines and large-scale processing systems.

• Experience working with cloud solutions and contributing to data modernization efforts.

• Experience working with Databricks, Snowflake, Azure SQL, Azure ADF, Big Query, GCP, Power BI/Tableau, Azure ADF

• Strong programming skills (e.g., Python, Java, Scala) for data manipulation and transformation.

• Excellent understanding of data engineering principles, data architecture, and database management.

Additional Experience:

• Strong problem-solving skills and attention to detail.

• Excellent communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders.

• Knowledge of the healthcare, distribution, or software industries is a plus.

• Strong technical aptitude and experience with a wide variety of technologies

• Ability to rapidly learn and if required evaluate a new tool or technology.

• Strong verbal & written communication skills

• Demonstrated technical experience.

• Be an innovative thinker.

• Must have a strong customer and quality focus.

Education:

• Bachelor's degree in a related field (e.g., Computer Science, Information Technology, Data Science) or equivalent experience

Work Environment/Physical Demands:

General Office Requirements

At McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves. For more information regarding benefits at McKesson, please click here.

As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. 

Our Base Pay Range for this position

McKesson is an Equal Opportunity/Affirmative Action employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.Qualified applicants will not be disqualified from consideration for employment based upon criminal history.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to Disability_Accommodation@McKesson.com. Resumes or CVs submitted to this email box will not be accepted.

Current employees must apply through the internal career site.

Join us at McKesson!