POSITION SUMMARY AND RESPONSIBILITIES

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.