Senior Epic BI Data Engineer - Cogito Reporting

University Health; San Antonio (TX); Sur place; USD 120 000 - 170 000; Plein temps

Résumé du poste

University Health seeks an Epic Business Intelligence Data Engineer to design and maintain data pipelines, data models, and analytic infrastructure across Epic, SQL Server, and cloud platforms. The role focuses on delivering trusted data assets for operational reporting, quality improvement, population health, and financial analytics.

The candidate will build ETL/ELT pipelines, support Clarity, Caboodle, and data lakes, ensure data quality and governance alignment, and collaborate with BI

Qualifications

• Bachelor’s degree in IT/CS/Data Engineering required.
• Master’s degree preferred.
• Epic Clarity/Caboodle experience preferred.
• 8+ years of SQL/SQL Server experience.
• Experience with ETL tools and cloud platforms.
• Healthcare environment experience preferred.

Responsabilités

• Design, build, test, and optimize ETL/ELT pipelines.
• Support analytic environments including Clarity, Caboodle, and data lakes.
• Ensure data quality and governance alignment.
• Collaborate with BI analysts and application teams to deliver enterprise reporting solutions.
• Maintain good working relationships with staff and comply with policies.

Connaissances

SQL & SQL Server

ETL/ELT Pipelines

Data Modeling

Cloud Platforms (Azure/AWS/GCP)

Epic Clarity & Caboodle (preferred)

Formation

Bachelor’s degree in Information Technology/CS/Data Engineering

Master’s degree preferred

Epic certification or cloud certification preferred

Outils

SQL Server

Azure/AWS/GCP

ETL Tools (Informatica/SSIS)

Description du poste

University Health seeks an Epic Business Intelligence Data Engineer to design and maintain data pipelines, data models, and analytic infrastructure across Epic, SQL Server, and cloud platforms. The role focuses on delivering trusted data assets for operational reporting, quality improvement, population health, and financial analytics.

The candidate will build ETL/ELT pipelines, support Clarity, Caboodle, and data lakes, ensure data quality and governance alignment, and collaborate with BI