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Senior Manager- Data Engineering- Job Code 00043

Remote, USA Full-time Posted 2025-11-24
About the position 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. In our U.S. locations, we operate on a hybrid work model with a four-day in-office schedule, Monday-Thursday. This in-office time fosters creativity, innovation, communication, and stronger team relationships, supporting both individual and organizational success. Responsibilities • Design and build trusted, reliable, and timely datasets, metrics and data pipelines critical to company direction. • Manage cloud technology stack, cloud infrastructure, and cloud database modelling techniques including push-down optimization, table partitioning, and clustering techniques. • Build and lead a high-performing data engineering team in a hands-on technical capacity. • Shape the acquisition, collection and leveraging of data. • Define and manage SLA's for all data sets and processes running in production. • Work closely with Product Managers, Analysts, Data Scientists to develop and own data-driven systems. • Utilize PowerShell, VBScript, Python, Cognos, Tableau, and Power BI. • Implement IaaS and PaaS for system and database architecture, data solutions design and administration, release processes, and project planning. • Design and implement solutions across serverless cloud data warehouse and data ingestion strategies including Google Cloud Platform (GCP), Snowflake, and Informatica Cloud. • Assist development team in troubleshooting, coding, testing, implementation, and documenting solutions. • Support, grow, mentor and inspire new and existing team members. • Be a key leader of the Data and Analytics team, working to propel the business towards being more data-driven. Requirements • Master's degree in Information Technology, Computer Science, or a related field of study. • 2 years of commercial software development experience. • 2 years of experience with IaaS and PaaS implementations for system and database architecture, data solutions design and administration, release processes, and project planning. • 2 years of experience with solution design and implementation across serverless cloud data warehouse and data ingestion strategies including Google Cloud Platform (GCP), Snowflake, and Informatica Cloud. • 2 years of experience with cloud technology stack, cloud infrastructure, and cloud database modelling techniques including push-down optimization, table partitioning, and clustering techniques. • 2 years of experience designing and building data warehousing ETL using SSIS, Informatica Cloud, and GCP services. • 2 years of experience designing, building, and supporting automation techniques for data loads. • 2 years of experience designing and building APIs for external teams. • Experience with PowerShell, VBScript, and Python. • Experience with Cognos, Tableau, and Power BI. • Experience with Azure DevOps, Rally Version One, GitHub, and SSCM. • Experience building GDPR and SOX data compliant. Benefits • Health, dental, vision, life and disability insurance • 401k Retirement Program + 6% employer match • Participation in Adtalem's Flexible Time Off (FTO) Policy • 12 Paid Holidays Apply tot his job Apply To this Job

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