United States onlyIt’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 seeking aSenior Data Engineerto address strategic data needs. The Senior Data Engineeris responsible fordesigning, building, andmaintainingdata engineering processes. This role involves working with cross-functional teams to develop efficient data pipelines and support data modernization initiatives. The position requiresexpertiseindata engineering principles, experience with cloud technologies, and an ability to deliver reliable data solutions.
Duties and Responsibilities:
Design and implement scalable and efficient data pipelines to support various data-driven initiatives.
Designs and maintains DatabricksLakehousepipelines across Bronze/Silver/Gold (Delta) layers, producing governed, ML-ready datasets with built-in data quality checks and lineage.
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 byleveragingcloud solutions andoptimizingdata processing workflows.
Demonstrate technical leadership by staying abreast of emerging data engineering technologies and implementing industry best practices.
Provide technical leadership in enabling AI/ML initiatives by designing scalable, reliable, and well-governed data engineering solutions.
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 ofnew technologies
Minimum Qualifications:
Deep technicalexpertisein building andoptimizingdata pipelines and large-scale processing systems.
Deep technicalexpertisewith Azure Cloud and Databricks.
Experience working with cloud solutions and contributing to data modernization efforts.
Strong programming skills (e.g.,SQL,Python,Pysparkor Scala) for data manipulation and transformation.
Excellent understanding of data engineering principles, data architecture, and database management.
Excellent understanding of data modeling conceptsand data structures.
Excellent understanding of source to target data mappings.
Strong experience building AI/ML data pipelines in Databricks.
Proficient in leveraging GenAI and agentic frameworks to develop data engineering solutions.
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 healthcare or clinical research industries is a plus.
Strong technical aptitude and experience with a wide variety of technologies
Ability to rapidly learn and ifrequiredevaluate 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).
This is a remote position based in the United States. Relocation and visa sponsorship are not available.
Interested candidates should submit their application through https://www.scri.com/careers/. Applications will be accepted through April 13th, 2026. 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.
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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.
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