We are seeking an experienced Enterprise Systems Engineer with a focus on Data & AI to maintain and enhance complex data flows within our enterprise environment. This hybrid Data Engineer role specializes in designing and implementing ETL pipelines between on-premises systems and cloud platforms, such as Microsoft Fabric, to deliver real-time reporting, analytics, and actionable data insights powered by AI and automation. The ideal candidate excels at utilizing low-code/no-code tools to efficiently achieve organizational objectives.
Responsibilities- Analyze current IT operational processes and business requirements to identify new data and technology specifications.
- Design and implement complex ETL pipelines and data movement solutions between on-premise systems and cloud data platforms.
- Utilize low-code/no-code tools to automate data objectives and business processes.
- Leverage AI and automation to enhance data insights, real-time reporting, and system efficiency.
- Prepare flow charts and models based on system specifications to support configuration design.
- Monitor data system performance and recommend/implement improvements or modifications.
- Test data solutions to validate functionality, usability, and data integrity.
- Serve as a technical expert for systems integration, addressing compatibility across multiple platforms and SaaS integrations.
- Collaborate with IT teams and business units to ensure process improvements align with business requirements.
- Maintain technical documentation for system users and support ongoing operations and development.
- Work with researchers and institutional team members to articulate and access data requirements for specialized research pipelines.
- Perform other duties as assigned.
- High proficiency with low-code/no-code tools for building data-driven objectives.
- Advanced experience with Microsoft Fabric and modern ETL tools.
- Strong familiarity with AI tools and their applications in data engineering and automation.
- Experience supporting researcher-specific pipelines is a plus.
- Proven ability with data management tools and validation of data movement.
- Ability to query databases using SQL, CLI, and API commands.
- Working knowledge of scripting and data formats such as PowerShell, Python, and JSON.
- Experience integrating SaaS applications with on-premise systems.
- Project leadership experience.
Education:
- Bachelor's degree in Computer Science, Information Systems, Business Administration, or a related field required. (Four years of experience may be substituted for a degree.)
Experience:
- Minimum of three (3) years of IT-related experience with data management tools, ETL processes, or cloud data integration required.
- Demonstrated experience in testing and validation of data movement across various repositories.
This position may require the ability to maintain the security and integrity of UT San Antonio and its infrastructure per Texas EO-GA-48.
About Us- Front-loaded Paid Time Off: 128 to 208 hours (16 to 26 days) of Paid Time Off based on years of service, given at the start of each fiscal year. PTO may be prorated in year one based on date of hire.
- Extended Illness Bank: 8 hours (1 day) accrued per month which can be used for illness or injury after one day of Paid Time Off is taken.
- Paid Family Leave: Up to 240 hours (6 weeks) to care for a spouse, child, or parent after 6 months of consecutive employment.
- Holidays: 12 set paid holidays each year.
Skills Required
- Bachelor's degree in Computer Science, Information Systems, Business Administration, or related field (or four years' experience in lieu of degree)
- Minimum of three (3) years of IT-related experience with data management tools, ETL processes, or cloud data integration
- Advanced experience with Microsoft Fabric and modern ETL tools
- High proficiency with low-code/no-code tools for building data-driven solutions
- Strong familiarity with AI tools and their applications in data engineering and automation
- Proven ability with data management tools and validation of data movement
- Ability to query databases using SQL, CLI, and API commands
- Working knowledge of scripting and data formats such as PowerShell, Python, and JSON
- Experience integrating SaaS applications with on-premise systems
- Project leadership experience
- Experience supporting researcher-specific pipelines
What We Do
UT Health San Antonio™, one of the country’s leading health sciences universities, is the leader in south/central Texas funding for the National Institutes of Health (NIH). The university’s schools of medicine, nursing, dentistry, health professions and graduate biomedical sciences have produced more than 33,000 alumni. The $806.6 million operating budget supports four campuses in San Antonio and Laredo, and is the primary driver of its community’s $37 billion biomedical and health care industry. For more information on the many ways “We make lives better®,” visit uthealthsa.org.






