Job DescriptionWorks with MCP Director of Data Asset Management on executing MCP data roadmap. Develops and deploys data pipelines and data warehouses to support MCP Data & Analytics operations. Uses various open-source programming languages, Google Cloud technologies, machine learning models, and vended software to meet data needs of MCP products. The position requires maintaining an understanding of the Mayo's data policies, enterprise data warehouse, and regularly requires the application of independent judgment. Demonstrated experience in designing, building, and installing data systems and how they are applied to support Mayo Clinic Platform products is required. Builds data pipelines to handle large volumes of clinical data including EHR data, DICOM data, and Genomic data..
QualificationsA Bachelor's degree in a relevant field such as engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field and a minimum of five years of professional or research experience in data visualization, data engineering, analytical modeling techniques; OR an Associate's degree in a relevant field such as engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field and a minimum of seven years of professional or research experience in data visualization, data engineering, analytical modeling techniques. In-depth business or practice knowledge will also be considered.
Incumbent must have the ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills, time management skills, and demonstrated experience working on cross functional teams are required. Requires strong analytical skills and the ability to identify and recommend solutions and a commitment to customer service. The position requires excellent verbal and written communication skills, attention to detail, and a high capacity for learning and problem resolution. Advanced experience in SQL is required. Strong Experience in programming languages such as Python, JavaScript, PHP, C++ or Java & API integration is required. Experience with data warehouse technologies such as BigQuery, DB2 and RDBMS is required. Experience in hybrid data processing methods (batch and streaming) such as Apache Spark, Dataflow Data Fusion is required. Experience with big data, statistics, and machine learning is required. The ability to navigate linux and windows operating systems is required. Knowledge of workflow scheduling (Apache Airflow Google Composer), Infrastructure as code (Terraform, Kubernetes, Docker), CI/CD (Jenkins, Github Actions) is preferred. Experience agile methodologies is preferred. Working knowledge of Tableau, Power BI, SAS, and SSIS is preferred.
About UsWhy Mayo ClinicMayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
Benefits Highlights - Medical: Multiple plan options.
- Dental: Delta Dental or reimbursement account for flexible coverage.
- Vision: Affordable plan with national network.
- Pre-Tax Savings: HSA and FSAs for eligible expenses.
- Retirement: Competitive retirement package to secure your future.
About the TeamJust as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.
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