Data Engineer - Digital Product Team

At Bon Secours Mercy Health, we are dedicated to continually improving health care quality, safety and cost effectiveness. Our hospitals, care sites and clinicians are recognized for clinical and operational excellence.Primary Function/General Purpose of Position

• Functions as key interface to develop and deliver datasets for integration and analytics on behalf of the digital product team
• Works creatively and collaboratively with development partners, solution owners, and key business stakeholders to understand, develop, and operationalize data assets which support desired business outcomes
• Collaborates with data analysts and other data consumers and application developers to optimize models and algorithms for data quality, security, and governance, with an emphasis on production implementations that lead to productivity gains
• Solicits, understands, and ensures compliance with data governance and data security requirements while creating and improving integrated and reusable data pipelines, to enable faster data access and improved time-to-solution for data and analytics initiatives.
• Drives automation through use of innovative and modern tools, techniques, and architectures to automate the most-common, repeatable, and tedious data preparation and integration tasks partially or completely
• Educates and trains on new data initiatives and how to address them
• Applies domain expertise in addressing new requirements, and proposes appropriate and innovative means of ingesting, preparation, integration, and operationalization to meet requirements
• Contributes to data and analytics evangelism, promoting capabilities and expertise to stakeholder teams, and blending growth as a data guru, fixer, and data munger
• Supports engineering communities of practice (CoP) to expand influence and quality across the digital organization.

• implementation and/or support activity of Data Hub architecture, and supporting processes of data operations, integration, and governance (required)
• demonstrated ability to design, build, manage and automate pipelines for data structures encompassing data transformation, data models, schemas, metadata, and workload management (required)