Shirley Ryan AbilityLab

Data Engineer

• The Data Engineer is a member of the Data Platform Engineering team, working in a dynamic cross-functional environment to assist in developing the strategic direction and the meaningful use of data within the organization for our next generation data platform to provide a full and self-service environment for clinicians, researchers, administrators and executives.
• Assists with development or selection of data models to be implemented in support of clinical, quality improvement, and research objectives.
• Creates ETL pipelines for data to and from various cloud and local sources consistent with existing data models.
• Adapts database systems and architecture as necessary to meet the operational, analytical, and reporting needs of the organization.
• Collaborate within the Data Platform Engineering team, Data Analytics and Data Governance teams, other Information Services (IS) teams, executive leadership, external consultants, and stakeholders from various departments within the hospital.
• Primarily utilizing existing resources, assist in developing secure, stable, scalable long-term plans for the flow of the hospital’s data.
• Assist in the development of scalable data infrastructure and platforms to collect and process large amounts of data, including structured and unstructured data for analysis by clinical, research, and business resources.
• Establish methods and procedures for tracking data quality, completeness, redundancy, compliance and improvement along with related system operational performance.
• Create strategies and plans for data capacity planning, data security, life cycle data management, scalability, backup and archiving.
• Create the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality and accurate downstream delivery and reporting.
• Define standards for engineering and architecture including naming, describing, managing, modeling, cleaning, enriching, transforming, transferring, storing, searching, and delivering data securely within the hospital.
• Assist with data stewardship by tagging and defining data elements in collaboration with subject matter experts and the Data Governance team.
• Participate in data structure and information model design across multiple stakeholders.
• Acquire and maintain data from primary or secondary data sources.
• Identify and evaluate opportunities for enhancement of current data architecture and data management technologies.
• Monitor, update, and ensure consistent uptime, availability and access of the data platform and other data systems for performance and reliability.
• Develop processes to support the deployment of high quality, flexible, and secure data management solutions
• Leverage available tools to drive Automation of key data management processes
• Create instrumentation and metrics to ensure ecosystem health & ensure continuous improvement of KPI’s