Senior Data Engineer

ZipRecruiter; Linthicum (MD); On-site; Full time

Job summary

A leading healthcare provider in Maryland seeks a Data Engineer to manage analytics infrastructure and ensure robust data processing capabilities. The ideal candidate will have significant hands-on experience with Epic systems and a strong background in data engineering, particularly using SQL and Python, within a complex, multi-data environment. This is an excellent opportunity for a professional looking to contribute to innovative healthcare solutions.

Qualifications

• 7+ years' experience in analytics or data engineering environment.
• Verifiable experience in Epic (Clarity/Caboodle).
• Proficiency in SQL and Python is required.

Responsibilities

• Interface Epic with relational systems and web apps.
• Gather and process raw data from multiple sources.
• Build data models for analysis.

Skills

SQL

Python

Epic Interface

Education

Bachelor's Degree in Computer Science or related field

Job description

Job DescriptionJob DescriptionCompany 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

1. 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.
2. Ensure analytics infrastructure and associated systems meet business requirements and industry best practices.
3. 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
4. Gathers, analyzes, documents and translates application requirements into data models.
5. Builds data models.
6. 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 .
• 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

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