Design and build back-end services supporting data-centric clinical and analytic applications that use cloud computing, big data, mobile, data science, data warehousing, and machine learning technologies. Ensure cloud-based microservices meet uptime and accuracy targets, remain resilient, and scale as data volumes and traffic increase. Work with data engineering, platform, and solutions teams to develop applications that benefit the practice and patients, and collaborate with Product Owners, Product Managers, and Architects to translate requirements into code. Develop services involving data warehousing, big data, cloud computing, business intelligence, analytics, and machine learning. Participate in DevOps, Agile, continuous development, and integration practices. Maintain process and source-code documentation, communicate across the organization, troubleshoot complex issues through root-cause analysis and system investigation, and contribute to design and architecture discussions. Lead targeted cross-functional improvements, mentor less-experienced engineers, solve complex problems, and work independently with minimal guidance. The role may lead projects or project steps and may carry accountability for ongoing activities or objectives. This is a hybrid position requiring residence within 100 miles of the Mayo Clinic campus in Rochester, Minnesota, for quarterly onsite expectations. The position is not eligible for visa sponsorship or transfer. Mayo Clinic does not participate in the F-1 STEM OPT extension program.
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Job Type
Full-time
Career Level
Senior