Adtalem Global Education is a national leader in post-secondary education and leading provider of professional talent to the healthcare industry. Adtalem educates and empowers students with the knowledge and skills to become leaders in their communities and make a lasting impact on public health, well-being and beyond. Through equitable access to education, environments that nurture student success, and a focus on expanding and diversifying the talent pipeline in healthcare, Adtalem is building a brighter future for communities and the world. Adtalem is the parent organization of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University. We operate on a hybrid schedule with four in-office days per week (Monday–Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment. Visit Adtalem.com for more information, and follow us on LinkedIn and Instagram . Adtalem is a data driven organization. The Data Engineering team builds data solutions that powers strategic and tactical business decisions and supports the Analytics and Artificial Intelligence operations. By implementing data platform, data pipelines and data governance policies this team provide the basis for decision-making in Adtalem. Work closely with various business, IT, Analyst and Data Science groups to collect business requirements. Design, develop, deploy and support high performance data pipelines both inbound and outbound. Develop the data platform by applying the business logic and building objects in the semantic layer of data warehouse. Optimize data pipelines for performance, scalability, and reliability. Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root. Document the design and support strategy of the data pipelines Capture, store and socialize data lineage and operational metadata. Troubleshoot and resolve data engineering issues as they arise. Performs other duties as assigned. Complies with all policies and standards.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees