Epic Business Intelligence Data Engineer - Cogito Reporting

University Health; San Antonio (TX); On-site; USD 120,000 - 170,000; Full time

Job summary

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.

Responsibilities

• 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.

Skills

SQL & SQL Server

ETL/ELT Pipelines

Data Modeling

Cloud Platforms (Azure/AWS/GCP)

Epic Clarity & Caboodle (preferred)

Education

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

Master’s degree preferred

Epic certification or cloud certification preferred

Tools

SQL Server

Azure/AWS/GCP

ETL Tools (Informatica/SSIS)

Job description

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 high‑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.