Senior Data Engineer at McKesson in Irving, Texas

Job Description:

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.



Current Need



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


Genospace is looking for a talented team player who wants to solve novel problems and help us build and deliver our data and AI platform. As the leading provider of information technology services in molecular medicine, our precision medicine platform is used today by clinicians and researchers across the country and around the globe to improve patient care.


At Genospace, our mission is to be the leading information platform for applied precision medicine.


Our interdisciplinary team is merging the tools and techniques of genomics, healthcare, data analytics, web development, and cloud computing. We serve research, clinical development, pathology, and clinical care customers who work with high- dimensional genomic and other biomedical data. Many of the most advanced precision medicine organizations are powered by Genospace.



Your Impact



Your work as a Data Engineer at Genospace will impact individuals and organizations across the healthcare landscape: patients searching for the best treatment options, researchers seeking to make advances based on a sea of high-dimensional data, physicians deploying personalized medicine in everyday practice, and laboratories conducting some of the most advanced analyses in the world.



What You'll Do

• Work on a small team to design and implement scalable and eAicient data pipelines to support various data-driven initiatives.


• Provide feedback to your teammates through code and design reviews, collaborating with and learning from each other while delivering great data and AI foundation.


• Help define, plan, and implement enhancements to our data engineering process, products, and technology platform

Some of the things we're looking for:




Minimum Requirement



Degree or equivalent and typically requires 4+ years of relevant experience.



Critical Skills

• At least 4+yrs of proven experience as a Data Engineer


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


• Proven experience with Azure Cloud and Databricks.


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


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


• Good understanding of data engineering principles, data architecture, and database management. Strong problem-solving skills and attention to detail.


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

Additional Skills

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


• Strong technical aptitude and experience with a wide variety of data 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.


• Strong customer and quality focus.


• Knowledge of MongoDB, Elasticsearch and/ or OrientDB is a plus

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. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.



Our Base Pay Range for this position



$110,800 - $184,600



McKesson is an Equal Opportunity Employer



McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.



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