1. Ensure analytics infrastructure and associated systems meet business requirements and industry best practices.
2. Gather and process raw data from multiple disparate sources (including writing scripts, calling APIs, write SQL queries, etc.) into a form suitable for analysis.
3. Gathers, analyzes, documents and translates application requirements into data models.
4. Builds data models.
5. Enables big data, batch and real-time analytical processing solutions leveraging emerging technologies.
6. Use python to design and execute data engineering pipelines 
7. Work with researchers to understand the requirements for data provisioning and then provision the data in a secure and governed fashion

The University of Maryland Medical System is a 14-hospital system with academic, community and specialty medical services reaching every part of Maryland and beyond. UMMS is a national and regional referral center for trauma, cancer care, Neurocare, cardiac care, women’s and children’s health and physical rehabilitation. UMMS is the fourth largest private employer in the Baltimore metropolitan area and one of the top 20 employers in the state of Maryland. No organization will give you the clinical variety, the support, or the opportunities for professional growth that you’ll enjoy as a member of our team. 

• Bachelor’s degree in computer science, mathematics, information systems, engineering, physical sciences, life sciences or closely related field is required. Four (4) years of equivalent related professional experience may be substituted for education requirement. Additional certifications are preferred.
• Minimum two (2) years’ experience designing, implementing and supporting systems in a large scale analytics or data engineering environment containing many disparate application systems and multiple data sources is required.
• Proficiency is python is required
• Knowledge of Epic (Chronicles/ Clarity/ Caboodle) is a plus

All your information will be kept confidential according to EEO guidelines.