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Data Ops Engineer
full-timeUnited States

Summary

Location

United States

Type

full-time

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About this role

It’s More Than a Career, It’s a Mission.


Our people are the foundation of our success. By joining our growing team at Sarah Cannon Research Institute (SCRI), a subsidiary of McKesson, you will have the opportunity to become part of one of the largest community-based cancer programs to advance oncology treatments and improve outcomes for cancer patients across the globe. We look for mission-driven candidates who have a desire to advance the fight against cancer and make a difference in the lives of patients diagnosed with cancer every day.

Our Mission


People who live with cancer – those who work to prevent it, fight it, and survive it – are at the heart of every decision we make. Bringing the most innovative medical minds together with the most passionate caregivers in their communities, we are transforming care and personalizing treatment. Through clinical excellence and cutting-edge research, SCRI is redefining cancer care around the world.

SCRI’s Data Solutions team is looking for a Data Ops Engineer to support strategic data initiatives.  As a Data Ops Engineer, you will play a crucial role in designing, constructing, and maintaining data architectures, databases, and large-scale processing systems to support SCRI data initiatives. You will collaborate closely with cross-functional teams to develop and support efficient data pipelines and contribute to our data modernization efforts. This position requires an understanding of data engineering principles, cloud technologies, and a commitment to delivering high-quality data solutions.

Duties and Responsibilities:

  • 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 architecture. 

  • 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. 

  • Create and maintain technical documentation, including data mapping documents, solution design documents and data dictionaries.

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

  • Automation and promotions to different environments using GitHub CICD with GitHub Actions / Liquibase.

  • Participate in the evaluation and identification of new technologies.

  • Other duties as assigned.

Minimum Qualifications: 

  • 5+ years of experience in data engineering

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

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

  • Technical expertise with Azure Cloud, Data Factory, Batch Service and Databricks.  

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

  • Experience using Terraform and bicep scripts to build Azure infrastructure.

  • Experience implementing security changes using Azure RBAC.

  • Experience building cloud infrastructure including Data Factory, Batch Service, Azure Gen 2 Storage Account and Azure SQL database.

  • Experience in developing data pipelines through proficiency in programming languages such as SQL, Python, Pyspark, or Scala for effective 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 unable to offer sponsorship for this role at this time.

Interested candidates should submit their application through https://www.scri.com/careers/. Applications will be accepted through January 22, 2025. Please ensure all required materials are included as outlined in the posting.

About Sarah Cannon Research Institute


Sarah Cannon Research Institute (SCRI) is one of the world’s leading oncology research organizations conducting community-based clinical trials. Focused on advancing therapies for patients over the last three decades, SCRI is a leader in drug development. In 2022, SCRI formed a joint venture with former US Oncology Research to expand clinical trial access across the country. It has conducted more than 750 first-in-human clinical trials since its inception and contributed to pivotal research that has led to the majority of new cancer therapies approved by the FDA today. SCRI’s research network brings together more than 1,300 physicians who are actively enrolling patients into clinical trials at more than 250 locations in 24 states across the U.S. Please click here to learn more about our research offerings.

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 colleague population and ensure they are the healthiest versions of themselves. For more information regarding benefits through our parent company, McKesson, please click here.

As part of Total Rewards, we are proud to offer a competitive compensation package. 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.

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:

McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Other facts

Tech stack
Data Engineering,Cloud Technologies,Data Pipelines,Azure Cloud,Data Factory,Batch Service,Databricks,Terraform,SQL,Python,Pyspark,Scala,Data Architecture,Database Management,Problem-Solving,Communication

About McKesson

At McKesson Canada, our vision is to improve care in every setting — one product, one partner, one patient at a time.
We partner with hospitals, physicians, pharmacies, nurses, biopharmaceutical manufacturers and others across the spectrum of care to build healthier communities. By helping our partners be as successful as possible, we work together to improve patients’ lives.
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Chez McKesson Canada, notre vision est d'améliorer les soins dans tous les contextes — un produit, un partenaire, un patient à la fois.
Nous travaillons en partenariat avec des hôpitaux, des médecins, des pharmacies, des infirmières, des fabricants de produits biopharmaceutiques et d'autres dans l'ensemble du système de santé pour bâtir des communautés plus saines. En aidant nos partenaires à avoir le plus de succès possible, nous travaillons ensemble pour améliorer la vie des patients.

Team size: 10,001+ employees
LinkedIn: Visit
Industry: Hospitals and Health Care

What you'll do

  • The Data Ops Engineer will design, construct, and maintain data architectures and databases to support SCRI data initiatives. They will collaborate with cross-functional teams to develop efficient data pipelines and contribute to data modernization efforts.

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Frequently Asked Questions

What does a Data Ops Engineer do at McKesson?

As a Data Ops Engineer at McKesson, you will: the Data Ops Engineer will design, construct, and maintain data architectures and databases to support SCRI data initiatives. They will collaborate with cross-functional teams to develop efficient data pipelines and contribute to data modernization efforts..

Why join McKesson as a Data Ops Engineer?

McKesson is a leading Hospitals and Health Care company.

Is the Data Ops Engineer position at McKesson remote?

The Data Ops Engineer position at McKesson is based in United States, United States. Contact the company through Clera for specific work arrangement details.

How do I apply for the Data Ops Engineer position at McKesson?

You can apply for the Data Ops Engineer position at McKesson directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about McKesson on their website.