Data 9EdvSSMV - Data & AL Solution — Houston, TX

Within the Enterprise Data Engineering & Analytics Department, the Data Engineer plays a critical role in advancing enterprise data engineering and analytics initiatives that support digital business priorities. The Data Engineer contributes to scalable data pipeline development, analytics enablement, trusted data access, and implementation of the Context Engine framework. The Data Engineer supports data-driven decision-making by helping operationalize enterprise data assets and analytics solutions across the institution.

Qk D2 nWy7t9FB'C vRRj4kgdh3 Data Engineering & Analytics Department is responsible for building scalable data pipelines, advancing analytics capabilities, and enabling trusted access to institutional data. Through collaboration with information technology, governance, analytics, and business stakeholders, the department promotes effective data management practices that improve data reuse, accelerate time-to-solution, and strengthen enterprise analytics capabilities.

The ideal candidate has a Master's Degree in Business Analytics, Computer Science, Information Technology, Data Science, or a related field, experience with modern data and analytics platforms such as Microsoft Fabric, Azure, Power BI, or Palantir Foundry, hands-on experience with AI/ML model and feature engineering processes, strong SQL proficiency, and an understanding of ontology structures and semantic layer implementation. Candidates should be motivated to support enterprise analytics initiatives, data governance, and scalable data engineering solutions.

Salary Range: Min-$106,500, Mid-$133,000, Max-$159,500

Why Us?

At hN vb ypZcDRc3, the Data Engineer plays a meaningful role in delivering trusted data solutions that support research, clinical operations, education, and business functions. This position offers opportunities to work with modern analytics platforms, collaborate with skilled data and technology professionals, contribute to enterprise-wide initiatives, and develop expertise in data engineering, governance, analytics, and advanced technologies while supporting an organization dedicated to improving lives through innovation and excellence.

• Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, vision, life, AD&D, and disability insurance.

• Accruals for PTO and Extended Illness Bank, plus paid holidays, wellness, childcare, and other leave options.

• Tuition Assistance Program after six months of service and access to extensive wellness, fitness, and employee resource groups.

• Defined-benefit pension through the Teachers Retirement System, voluntary retirement plans, and employer-paid life and reduced salary protection programs.

Responsibilities

Data Engineering & Solution Delivery

• Participate in end-to-end solution delivery that increases information capabilities and realizes data value across the institution.

• Build and support data sources and tools across the Context Engine framework through ingestion, ingress, egress, curation, transformation, modeling, and integration activities.

• Support existing end-to-end data pipelines from acquisition and integration through analytics consumption.

• Participate in planning, architecture, analysis, design, and implementation of enterprise data pipelines and solutions.

• Incorporate repeatable solution designs and data models into enterprise data solutions.

• Explore and promote modern tools, technologies, and architectures that automate repeatable data preparation and integration activities.

Data Governance & Data Management

• Support data governance processes that track data provenance, security, data quality, and ontology throughout the data lifecycle.

• Integrate metadata management and governance processes into ingestion, curation, and pipeline development activities.

• Build data curation pipelines that include profiling, specification creation, cleansing, transformation, standardization, mastering, harmonization, validation, aggregation, and monitoring.

• Create, improve, and operationalize integrated and reusable data pipelines.

• Enable faster access to trusted data and maximize data reuse across the enterprise.

• Adhere to effective data management practices and promote understanding of data and analytics.

Analytics & Collaboration

• Partner with Information Systems, Data Offices, Data Governance teams, and other stakeholders to manage institutional data efficiently.

• Partner with Enterprise Development & Integration and Enterprise Data Science teams to deliver analytics solutions.

• Collaborate creatively with Principal and Senior Data Engineers and enterprise technology teams on solution delivery initiatives.

• Support institutional data strategy initiatives, including Context Engine objectives.

• Support customer relationships and collaborate with OneIS to deliver effective technical solutions and service.

Standards, Testing & System Maintenance

• Adhere to Information Systems standard operating procedures, institutional policies, and data stewardship requirements.

• Participate in development and maintenance of technical documentation for enhancements and new technologies.

• Follow documented change control procedures and participate in change control audits when required.

• Perform quality control testing and review solutions to ensure technical soundness.

• Assist with analytics platform updates and new-release implementation activities.

• Adhere to regulatory requirements, quality standards, and industry best practices.

• Collaborate with internal and external stakeholders to maintain effective processes and systems.

• Participate in after-hours application support and downtime procedures.

Education, Training & Support

• Train data scientists, data analysts, end users, and other data consumers on data pipelining and preparation techniques.

• Assist with development of training plans for Context Engine tools and related systems.

• Partner with training teams and subject matter experts to develop educational curricula.

• Provide institutional, departmental, and individual training on Enterprise Data Engineering & Analytics deliverables.

• Support OneIS commitments by delivering innovative, high-quality, and sustainable information technology solutions and services.

• Promote integrity, trust, respect, support, and honesty with customers and colleagues.

• Build productive, collaborative, and trusted partnerships across the organization.

• Demonstrate continuous improvement and commitment to delivering outcomes that exceed expectations.

• Perform other duties as assigned.

EDUCATION

• Required: Bachelor's Degree

• Preferred: Master's Degree Business Analytics, Computer Science, Information Technology, Data Science, or related.

Work Experience

• Required: 2 years Clinical, relevant healthcare information technology, or relevant business experience. or

• Required: With preferred degree, no experience required.

• May substitute required education with years of related experience on a one to one basis.

• Required: One Epic Data Model certification must be maintained.

• Preferred: Experience with a modern data and analytics platform (Microsoft Fabric, Azure, Power BI, Palantir Foundry), At least 2 years of hands-on work experience with AI/ML model and feature engineering processes, proficiency in SQL. Must understand how ontologies are structured and implementing semantic layers.

• Onsite presence - A few times a year for key organizational/department meetings or key project/internal customer meetings, with possibly other optional opportunities to come onsite

LICENSES AND CERTIFICATIONS

• Required: EPIC - EPIC Certification Must obtain at least one Epic Data Model certification (Clinical, Access, or Revenue) issued by Epic. within 180 Days or

• Required: EPIC - Epic Accredited Must obtain at least one Epic Data Model accreditation (Clinical, Access, or Revenue) issued by Epic. within 180 Days.

The University of Texas jx 8XSeB6Ce WPjH3U Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.

This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.

It is the policy of The University of Texas jx 8XSeB6Ce WPjH3U Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.••••••••

Additional Information

• Requisition ID: 183813

• Employment Status: Full-Time

• Employee Status: Regular

• Work Week: Days

• Minimum Salary: US Dollar (USD) 106,500

• Midpoint Salary: US Dollar (USD) 133,000

• Maximum Salary : US Dollar (USD) 159,500

• FLSA: exempt and not eligible for overtime pay

• Fund Type: Hard

• Work Location: Remote (within Texas only)

• Pivotal Position: Yes

• Referral Bonus Available?: Yes

• Relocation Assistance Available?: Yes