Epic Certified Data Engineer | Blue Bridge People · Teeming.ai
Blue Bridge People
Blue Bridge People is a talent partner that connects top technical and business professionals with forward-thinking organizations. Since 2020, they have focused on humanizing the hiring experience…
Blue Bridge People is a talent partner that connects top technical and business professionals with forward-thinking organizations. Since 2020, they have focused on humanizing the hiring experience…
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This is
NOT
a traditional Data Engineering role. Please only apply if you have the applicable
EPIC experience.
The client is only accepting candidates who reside in OHIO, INDIANA and KENTUCKY. Travel to Cincinnati monthly will be required.
Unfortunately, client can NOT sponsor or transfer visas (this also excludes Student and Dependent Visas)
**Please no C2C/3rd party candidates**
Senior Data Engineer
(EpicCare Ambulatory – Healthy Planet / Population Health)
Role Summary
The Senior Data Engineer (EpicCare Ambulatory – Healthy Planet / Population Health) plays a critical role in designing, building, and optimizing enterprise-scale data pipelines, datasets, and ETL/ELT processes across their full lifecycle. This role partners closely with a multidisciplinary Agile team to deliver well-governed, high-quality, and actionable data that supports population health, clinical analytics, and business intelligence initiatives.
This position is responsible for assembling and integrating large, complex datasets—including
paired clinical and operational data from Epic Data repositories
—and supporting
data migration initiatives to Epic Cloud
to ensure seamless, secure, and performant access to analytics-ready data across the enterprise.
Job Overview
Design, build, and maintain scalable, reliable, and optimized data pipeline architectures with awareness of emerging technologies aligned to evolving business needs.
Integrate paired data sets with Epic Data (including Healthy Planet / Population Health domains) and support data migration and synchronization to Epic Cloud environments
, ensuring data accuracy, consistency, and governance.
Sync data across multiple internal and external systems to ensure data integrity and enable reliable insights across analytics and reporting platforms.
Partner closely with data science teams and business/data analysts to refine data requirements and ensure datasets are fit for advanced analytics, reporting, and consumption.
Provide technical leadership and mentorship to engineering team members by removing development roadblocks through collaboration, clear communication, and innovative solution design.
Identify, design, and implement process and infrastructure improvements, including scalability enhancements, data delivery optimization, and automation of manual workflows.
Job Requirements
Education & Certifications
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
Technical & Domain Experience
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
Experience Level
4–5 years of experience in technical roles within Information Systems, Computer Science, Healthcare IT, or related disciplines
Up to 1 year of clinical healthcare experience preferred
Job Responsibilities
Collaborate with stakeholders across data, design, product, and executive teams to troubleshoot and resolve data-related technical challenges.
Maintain required certifications and continuing education, including Epic and Python certifications, in alignment with organizational standards.
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.
Measured by participation metrics and customer service feedback.
Adhere to departmental standard operating procedures (SOPs), coding standards, documentation requirements, and version control practices.
Measured by compliance with design, development, testing, and deployment standards.
Obtain and maintain required training and certifications as defined by the Analytics Center of Excellence (ACoE). Contribute to training plans and continuous improvement initiatives.
Measured by certification completion, ACoE contributions, and submitted improvement ideas.
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.
Measured by the number of certified datasets delivered on time, adherence to data quality standards, and orchestration SLAs.
Performance measurements are reviewed regularly by management, incorporating peer input, analytics team feedback, and customer satisfaction metrics.
