At Cleveland Clinic Health System, we believe in a better future for healthcare. And each of us is responsible for honoring our commitment to excellence, pushing the boundaries and transforming the patient experience, every day. We all have the power to help, heal and change lives — beginning with our own. That’s the power of the Cleveland Clinic Health System team, and The Power of Every One. Join the Cleveland Clinic team where you will work alongside passionate caregivers and make a lasting, meaningful impact on patient care. Here, you will receive endless support and appreciation while building a rewarding career with one of the most respected healthcare organizations in the world. The Senior Data Engineer will extract, transform, and integrate data from diverse clinical systems—including Epic Clarity, third-party APIs, and other internal and external sources—using SQL, Python, and additional programming languages as needed. The role ensures seamless integration of structured, semi-structured, and unstructured data within Snowflake and Databricks environments, with familiarity in REDCap databases considered a plus. This position plays a key role in organizing, managing, and optimizing the organization’s data ecosystem, enabling enhanced decision-making across clinical operations and research. You will be responsible for designing, building, and maintaining scalable data pipelines, data warehouses, and data lakes that support clinical and financial reporting. The role is full time (40 hours per week), Monday through Friday from 8:00 a.m. to 5:00 p.m., with minimal weekend or holiday work and occasional on-call coverage as needed. The caregiver must work onsite at Cleveland Main Campus, with eligibility for a hybrid work arrangement after 90 days.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees