Data Quality Engineer, Data and Analytics Department, Full-time, Day Shift (5 x 8-hour shifts), University of Chicago Medicine, Hyde Park, Illinois
We're hiring a Data Quality Engineer for the Data and Analytics department at the University of Chicago Medical Center in Hyde Park, Illinois!
Under general direction, the Data Quality Engineer is accountable for all day-to-day operational activities related to data quality. The Engineer ensures adherence to departmental policies, project deadlines and overall goals. In this role, you will collaborate with interdisciplinary teams across the care continuum and act as a steward of data and data best practices. The ideal candidate has a full technical knowledge of the data sources and systems across the University of Chicago Medicine network. This position will report directly to the Director of Data Governance, Quality and Resource Management.
We’ve been at the forefront of medicine since 1899. We provide superior healthcare with compassion, always mindful that each patient is a person, an individual. To accomplish this, we need employees with passion, talent and commitment… with patients and with each other. We’re in this together: working to advance medical innovation, serve the health needs of the community, and move our collective knowledge forward. If you’d like to add enriching human life to your profile, The University of Chicago Medicine is for you. Here at the forefront, we’re doing work that really matters. Join us. Bring your passion.
Bring your career to the next level at a hospital that is thriving; from patient satisfaction to employee engagement, we are at the Forefront of Medicine. Take advantage of all we have to offer and #BringYourPassiontotheForefront
University of Chicago Medicine is growing; discover how you can be a part of this pursuit of excellence at: www.uchospitals.edu/jobs
The University of Chicago Medical Center is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, ethnicity, ancestry, sex, sexual orientation, gender identity, marital status, civil union status, parental status, religion, national origin, age, disability, veteran status and other legally protected characteristics.