Medical University of South Carolina
Job Description Summary
MUSC Community Physicians (MCP) is an entity within the Medical University of South Carolina that provides healthcare to patients within the rural health network throughout the state of South Carolina. The Healthcare Data Engineer III serves as a primary technical architect and strategic partner to the Director of Operational Performance. In this role, you will function as a subject matter expert on data architecture, bridging the gap between complex backend systems and actionable business intelligence. This dynamic, high-impact position is for a problem solver who is eager to move beyond simple reporting and into predictive analytics and statistical modeling. You will navigate the full data lifecycle from engineering robust data pipelines in Microsoft Fabric to designing executive‑level dashboards that drive decision‑making across the enterprise.
Job Description Under general supervision, the Healthcare Data Engineer performs advanced data engineering, analytics, and reporting functions. The role focuses on ensuring the integrity, accessibility, and usability of data within the MCP network.
Responsibilities
Collaborate with leadership to transform raw data into meaningful insights, understanding where data lives and leveraging native source system capabilities.
Oversee the design, maintenance, and security of the organization’s data estate, including SQL databases and Microsoft Fabric capacities.
Design predictive models and statistical forecasts, identifying correlations in clinical and financial data to anticipate operational bottlenecks and validate strategic initiatives.
Develop and manage a comprehensive suite of automated reports and dashboards using advanced DAX and visualization best practices.
Partner with finance and operations teams to validate data integrity and identify opportunities for performance improvement.
Collaborate with business development and leadership to analyze data for new opportunities, partnerships, and network expansion.
Identify and automate inefficient reporting processes using tools such as Azure Data Factory and Power Automate.
Minimum Education and Experience Bachelor’s Degree required with 8‑10 years of experience in healthcare analytics or a healthcare‑adjacent industry. Experience with EHR‑based reporting and Epic preferred.
Required Licensure, Certifications, Registrations
Mastery of SQL language (certification or demonstrated proficiency)
Mastery of DAX language (certification or demonstrated proficiency)
History of mastery in Power BI visualization
Preferred Skills / Certifications
Microsoft Fabric
Power Automate
Statistical Modeling
Epic Certification or proficiency with Clarity, Caboodle, Cogito, and Resolute PB
Azure Data Factory (ADF)
Benefits
Health, dental, vision, and life insurance
Employer-sponsored retirement plan
Paid time off and extended sick leave
Paid parental leave
Disability insurance plan options
Continuous professional and clinical training
Competitive pay
Annual merit increase
Wellbeing resources
Tuition reimbursement
Employee perks and discounts
Employee referral programFlexible schedule options
Certification incentive program
The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need.
Medical University of South Carolina participates in the federal E‑Verify program to confirm the identity and employment authorization of all newly hired employees.
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Job Description Under general supervision, the Healthcare Data Engineer performs advanced data engineering, analytics, and reporting functions. The role focuses on ensuring the integrity, accessibility, and usability of data within the MCP network.
Responsibilities
Collaborate with leadership to transform raw data into meaningful insights, understanding where data lives and leveraging native source system capabilities.
Oversee the design, maintenance, and security of the organization’s data estate, including SQL databases and Microsoft Fabric capacities.
Design predictive models and statistical forecasts, identifying correlations in clinical and financial data to anticipate operational bottlenecks and validate strategic initiatives.
Develop and manage a comprehensive suite of automated reports and dashboards using advanced DAX and visualization best practices.
Partner with finance and operations teams to validate data integrity and identify opportunities for performance improvement.
Collaborate with business development and leadership to analyze data for new opportunities, partnerships, and network expansion.
Identify and automate inefficient reporting processes using tools such as Azure Data Factory and Power Automate.
Minimum Education and Experience Bachelor’s Degree required with 8‑10 years of experience in healthcare analytics or a healthcare‑adjacent industry. Experience with EHR‑based reporting and Epic preferred.
Required Licensure, Certifications, Registrations
Mastery of SQL language (certification or demonstrated proficiency)
Mastery of DAX language (certification or demonstrated proficiency)
History of mastery in Power BI visualization
Preferred Skills / Certifications
Microsoft Fabric
Power Automate
Statistical Modeling
Epic Certification or proficiency with Clarity, Caboodle, Cogito, and Resolute PB
Azure Data Factory (ADF)
Benefits
Health, dental, vision, and life insurance
Employer-sponsored retirement plan
Paid time off and extended sick leave
Paid parental leave
Disability insurance plan options
Continuous professional and clinical training
Competitive pay
Annual merit increase
Wellbeing resources
Tuition reimbursement
Employee perks and discounts
Employee referral programFlexible schedule options
Certification incentive program
The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need.
Medical University of South Carolina participates in the federal E‑Verify program to confirm the identity and employment authorization of all newly hired employees.
#J-18808-Ljbffr