Blue Bridge People · 5 hours ago
Data Engineer - EpicCare Ambulatory
Blue Bridge People is seeking a Senior Data Engineer specializing in EpicCare Ambulatory for their client. This role involves designing and optimizing data pipelines, integrating complex datasets, and supporting data migration initiatives to enhance population health and analytics capabilities.
Responsibilities
Actively participate in team meetings, design reviews, planning sessions, huddles, and operational roundings
Communicate professionally, respectfully, and inclusively with customers, clinicians, researchers, administrators, and cross-functional team members
Facilitate business requirements discussions with a diverse user community to support population health, clinical, and operational analytics initiatives
Adhere to departmental standard operating procedures (SOPs), coding standards, documentation requirements, and version control practices
Obtain and maintain required training and certifications as defined by the Analytics Center of Excellence (ACoE). Contribute to training plans and continuous improvement initiatives
Design, build, test, and deploy high-quality queries, data pipelines, and curated datasets aligned to business requirements and emerging technology standards
Integrate, synchronize, and migrate Epic-related datasets (including paired data) across on-prem and Epic Cloud platforms to support enterprise analytics needs
Qualification
Required
Bachelor's degree in Information Systems, Computer Science, Statistics, Healthcare Information Management, Engineering, or a related field
Equivalent relevant experience may be accepted in lieu of a degree
Epic Ambulatory Certification (expected within 1 year of hire)
Epic Clinical Data Model Certification
Hands-on experience with Healthy Planet (Population Health)
Experience working with Epic Data models and clinical datasets, including data integration and cloud migration initiatives
Exposure to relational databases (e.g., SQL Server) and non-relational databases
Experience designing and supporting ETL/ELT pipelines, curated datasets, and BI/analytics solutions
Proficiency in programming languages such as Python and/or C#
Exposure to Agile/Scrum development methodologies
4–5 years of experience in technical roles within Information Systems, Computer Science, Healthcare IT, or related disciplines
Preferred
Up to 1 year of clinical healthcare experience preferred