Offer summary

Qualifications:

Bachelor’s Degree in Computer Science, Mathematics, Information Systems, Engineering, Physical Sciences, Life Sciences or a closely related field, or equivalent professional experience., Verifiable experience in Epic (Clarity/Caboodle and Interfaces) is required., Proficiency in SQL and Python is essential., Seven or more years of experience in a large-scale analytics or data engineering environment is necessary..

Key responsibilities:

Interface Epic with relational systems and web applications, ensuring analytics infrastructure meets business requirements.

Gather and process raw data from multiple sources, including writing scripts and SQL queries.

Analyze, document, and translate application requirements into data models.

Build data models and enable big data, batch, and real-time analytical processing solutions using emerging technologies.

Job description

Company Description

The University of Maryland Medical System (UMMS) is an academic private health system, focused on delivering compassionate, high quality care and putting discovery and innovation into practice at the bedside. Partnering with the University of Maryland School of Medicine, University of Maryland School of Nursing and University of Maryland, Baltimore who educate the state’s future health care professionals, UMMS is an integrated network of care, delivering 25 percent of all hospital care in urban, suburban and rural communities across the state of Maryland. UMMS puts academic medicine within reach through primary and specialty care delivered at 11 hospitals, including the flagship University of Maryland Medical Center, the System’s anchor institution in downtown Baltimore, as well as through a network of University of Maryland Urgent Care centers and more than 150 other locations in 13 counties. For more information, visit www.umms.org.

Job Description

Hands-on skills in interfacing Epic (using Epic Clarity/ Caboodle and Epic Interfaces such as HL7) with relational systems and web apps is a MUST.
Ensure analytics infrastructure and associated systems meet business requirements and industry best practices.
Gather and process raw data from multiple disparate sources (including writing scripts, calling APIs, write SQL queries, etc.) into a form suitable for analysis using python
Gathers, analyzes, documents and translates application requirements into data models.
Builds data models.
Enables big data, batch and real-time analytical processing solutions leveraging emerging technologies.

Qualifications

Bachelor’s Degree in Computer Science, Mathematics, Information Systems, Engineering, Physical Sciences, Life Sciences or closely related field or equivalent related professional experience is required. Additional certifications are preferred.
Verifiable experience in Epic (Clarity/ Caboodle and Interfaces) is required
Proficiency in SQL, python
Seven or more (7+) 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.

Additional Information

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

Compensation

Pay Range: $57.87-$92.40
Other Compensation (if applicable):
Review the 2024-2025 UMMS Benefits Guide

Like many employers, UMMS is being targeted by cybercriminals impersonating our recruiters and offering fake job opportunities. We will never ask for banking details, personal identification, or payment via email or text. If you suspect fraud, please contact us at [email protected].

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