Sr. Data Engineer - Cell, Gene and Advanced Therapy

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.

Job title: Sr. Data Engineer - Cell, Gene and Advanced Therapy

Work location: Remote, USA

Current Need:

McKesson’s Pharmaceutical Solutions and Services (PSaS) Cell, Gene and Advanced Therapy (CGAT) team is looking for Sr. Data Engineer to support strategic Cell & Gene data initiatives.  As a Sr. Data Engineer, you will play a crucial role in designing, constructing, and maintaining data architectures, databases, and large-scale processing systems to support Cell & Gene data initiatives. You will collaborate closely with cross-functional teams to develop efficient data pipelines and contribute to our data modernization efforts. This position requires a deep understanding of data engineering principles, cloud technologies, and a commitment to delivering high-quality data 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. 
• Promotions to different environments using GitHub CICD with GitHub Actions / Liquibase
• Participate in the evaluation and identification of new technologies

Qualifications: 

• Deep technical expertise in building and optimizing data pipelines and large-scale processing systems. 
• Deep technical expertise with Azure Cloud and Databricks.  
• Experience working with cloud solutions and contributing to data modernization efforts. 
• Strong programming skills (e.g.,SQL, Python, Pyspark or Scala) for data manipulation and transformation. 
• Excellent understanding of data engineering principles, data architecture, and database management. 
• 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.

Additional Experience:

• 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.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benef