Data integration Developer

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.

Responsibilities:          

Under limited direction, responsible for developing applications and processes required to extract, transform, cleanse, and manage data in support of the organization’s analytics ecosystem.  As a core member of a high-performance team, ensure data integration services are consistently and reliably maintained and analytics capabilities are delivered at an optimum level, helping the organization identify insights from a large number of diverse datasets.

• Study data sources by interviewing users; define, analyze, and validate data objects; identify relationship among data objects.
• Plan data integration process by developing common definitions of sourced data; design common keys in physical data structure; establish data integration specifications; examine data applications.
• Examine data models and determine best-fit data interchange methods.
• Assess middleware tools for data integration, transformation, and routing.
• Develop project scope and specifications identifying factors that negatively impact integration; forecast resource requirements and establish delivery timetables.
• Design, specify, and select integration and data solutions, consider current and future functionality, enterprise data sources and stores, security, infrastructure, and performance.
• Deliver data integration by integrating data shared across legacy, new development, and purchased package environments using various technologies and toolsets.
• Map data, establish interfaces, develop, and modify functions, programs, routines, and stored procedures to export, transform, and load data.
• Meet performance parameters; resolve and escalate integration issues; document operational procedures and data connections.
• Work with Data Engineers and Database Administrators to design and create physical data structures.
• Work with Data Scientists, Business Intelligence Developers, and other developers, build integrations, tools and scripts that take advantage of the insights to support organizational strategic, clinical, ad-hoc and regulatory imperatives.

Requirements

Bachelor’s degree in Computer Science, Mathematics, Information Systems, or closely related field and three (3) years of experience with each of the following:

• Designing and developing integrations to internal and external applications.
• Integration patterns, concepts, and integration platforms.
• Delivering and supporting real time integration solutions.
• Data integration tools (e.g. Pentaho Kettle, SSIS, etc).
• C/C++, Python, and Ruby.
• SQL, PLSQL, and Unix Scripting.

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