Epic Business Intelligence Data Engineer – Cogito Reporting

University Health; San Antonio (TX); Sur place; USD 110 000 - 160 000; Plein temps

Résumé du poste

University Health is seeking an Epic Business Intelligence Data Engineer to design and support data pipelines, models, and analytic infrastructure across Epic, SQL Server, and cloud platforms. This role develops trusted data assets for operational reporting, quality improvement, population health, and financial analysis.

You will build ETL/ELT pipelines, support Clarity, Caboodle, and data lakes, ensure data quality and governance alignment, and work with BI analysts and application teams to

Qualifications

• Bachelor's degree in IT, CS, data engineering or related field is required.
• Master's degree preferred; cloud certifications in Azure, AWS or Google required.
• 8+ years of SQL and SQL Server experience required.
• Experience with ETL tools, data engineering frameworks, and cloud platforms required.
• Healthcare environment or Epic ecosystem experience preferred.

Responsabilités

• Design and support data pipelines, data models, and analytic infrastructure across Epic, SQL Server, and cloud platforms.
• Build high-quality, trusted data assets for operational reporting, quality improvement, and financial analysis.
• Design, build, test, and optimize ETL/ELT pipelines and data environments like Clarity and Caboodle.
• Collaborate with BI analysts and end users to meet enterprise reporting needs.

Connaissances

SQL

ETL tools

Cloud platforms

Data modeling

Healthcare data

Formation

Bachelor's degree

Master's degree preferred

Outils

Azure

AWS

Google Cloud

Epic Clarity

Epic Caboodle

Description du poste

Epic Business Intelligence Data Engineer – Cogito Reporting

The Data Engineer serves as a core technical resource within the Enterprise Analytics and Cogito ecosystem, designing and supporting data pipelines, data models, and analytic infrastructure across Epic, SQL Server, and cloud platforms. This role is responsible for building highâ€‑quality, trusted data assets that support operational reporting, quality improvement, population health, financial analysis, and strategic objectives.

Responsibilities include designing, building, testing, and optimizing ETL/ELT pipelines; supporting analytic environments such as Clarity, Caboodle, and data lakes; ensuring data quality and governance alignment; and collaborating with end users, BI analysts, and application teams to meet enterprise reporting and analytics needs.

Individual must maintain a good working relationship with co-workers and other University Health staff and perform other duties as assigned or defined in the performance evaluation and in the Universtiy Health policies and procedures.

EDUCATIONAL/EXPERIENCE

Bachelor’s degree in Information Technology, Computer Science, Data Engineering, or a related field required. Master’s degree in Mathematics, Statistics, Data Engineering or related field is preferred. Cloud systems administration certification is required (Azure, AWS, Google). 8+ years of experience in SQL and SQL server is required. Experience with ETL tools, data engineering frameworks, and cloud platforms required. Experience in a healthcare environment or with Epic (Clarity, Caboodle, Chronicles) is preferred.

Will be required to successfully pass the Epic pre-assessment testing if not currently Epic certified and in good standing.