Ann & Robert H. Lurie Children’s Hospital of Chicago
Data Engineer IV at Ann & Robert H. Lurie Children’s Hospital of Chicago leads the design, development, and optimization of data systems across the organization. The role partners with Architects, Product, and cross-functional teams to address complex data challenges, setting technical direction, establishing standards and best practices, and influencing organization-wide strategy for data ingestion, storage, and integration. Responsibilities include defining data ingestion and orchestration patterns, driving data quality and monitoring automation, and delivering scalable, high-performance data platforms across cloud and on-premises environments. The Data Engineer IV establishes and governs data policies to ensure security, governance, and compliance, enabling analytics through usable data products. Requirements include a Bachelor’s degree in a related quantitative or technical field and 10+ years of hands-on data engineering experience; healthcare industry experience is preferred; deep expertise in modern data platforms and SQL/Python; ability to translate business needs into data solutions.
Ann & Robert H. Lurie Children’s Hospital of Chicago
Data Engineer IV at Ann & Robert H. Lurie Children’s Hospital of Chicago leads the design, development, and optimization of data systems across the organization. The role partners with Architects, Product, and cross-functional teams to address complex data challenges, setting technical direction, establishing standards and best practices, and influencing organization-wide strategy for data ingestion, storage, and integration. Responsibilities include defining data ingestion and orchestration patterns, driving data quality and monitoring automation, and delivering scalable, high-performance data platforms across cloud and on-premises environments. The Data Engineer IV establishes and governs data policies to ensure security, governance, and compliance, enabling analytics through usable data products. Requirements include a Bachelor’s degree in a related quantitative or technical field and 10+ years of hands-on data engineering experience; healthcare industry experience is preferred; deep expertise in modern data platforms and SQL/Python; ability to translate business needs into data solutions.
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