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. Work closely with Senior Data Engineers in the design & development phase and follow the CI/CD deployment pipeline. Collaborate with senior data engineers and develop optimal data solutions by applying the business logic and building objects in the semantic layer of the data warehouse. Follow the documentation standards and document the design and support strategy of all the data pipelines. Collaborate with senior data engineers to capture, store, and socialize data lineage and operational metadata. Play a crucial role in solving data pipeline issues and communicate the impact & status to stakeholders. Understand the pipeline flow, dependencies, origins and service levels of data systems to continuously improve the accuracy, timeliness, and availability of data. Performs other duties as assigned. Complies with all policies and standards.