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This position is not eligible for employer-sponsored work authorization. Applicants must be authorized to work in the United States for any employer now and in the future without sponsorship.

The Data Analytics Engineer designs, develops, and supports integrated data solutions that enable informed decision‑making across academic, research, and administrative functions of the university. This role plays a key part in managing and integrating data across multiple environments, including combining local data with central campus datasets within the UT Data Hub framework.

Working closely with academic units, central offices, researchers, and IT partners, this position translates institutional needs into robust, efficient, and scalable data structures while operating within university data governance, privacy, and compliance requirements.

Data Analytics and Data Engineering

• Develops, codes, validates, and implements relational databases and integrated data structures that support analytics.  

• Collaborates with functional partners to collect business requirements and develop and refine business logic.  

• Collaborates with technical partners to locate, clean, and orchestrate source data.  

• Crafts code for the translation and transformation of functional business logic into a high-scale database environment that can readily support the production of descriptive, predictive, and prescriptive analytics and consumable reports, dashboards, and other tools to support University decision-making.  

• Understands how to best design database structures for meaningful data visualizations and interactive tools.  

• Engages in best practices in data analytics and data engineering - including robust validation processes, testing/deployment procedures, algorithms for data mining, version control and code integration, thorough documentation, and automation and streamlining of data processing pipelines.  

• Applies creativity and flexibility to finding solutions for new institutional data challenges.  

• Assists with special projects and ad hoc data requests as needed. 

Collaboration, Communication, & Institutional Knowledge

• Works both independently and collaboratively with cross-functional teams to develop exceptional data products to meet university needs.  

• Participates in data project lifecycle - from conception, requirements gathering and design, documentation, development and testing through deployment.  

• Engages and communicates with partners and stakeholders to manage requests, expectations, and deliverables.  

• Effectively communicates project status, progress, risks, and issues to drive project to completion.  

• Develops an in-depth knowledge of university data processes and technologies.  

• Handles confidential information with tact and discretion.  

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent professional experience.

• Strong technical expertise in using SQL to query large databases, manipulate and validate data, implement business logic, and analyze data.

• Excellent knowledge of databases, data flows, and data manipulation in both operational and analytical contexts.

• Proven ability to synthesize complex and/or ambiguous information from multiple sources using a variety of tools and techniques to transform that information into consumable insights. 

• Ability to communicate with a wide range of stakeholders and collaborate effectively in a higher-education or enterprise setting. 

• Proven prioritization and organizational skills with the ability to handle multiple projects simultaneously. 

• Excellent written and verbal communication skills, critical thinking and creative problem-solving, and attention to detail. 

• Demonstrated ability to maintain a high level of professionalism. 

Relevant education and experience may be substituted as appropriate.

• Experience working in a higher education or research environment.

• Familiarity with institutional data domains (e.g., student, enrollment, research, finance, HR).

• Experience working with cloud data platforms or analytics services and PostgreSQL environments. 

• Experience supporting business intelligence or analytics tools (e.g., Power BI, Tableau).

• Knowledge of data governance, stewardship, and compliance in higher education.

• Experience collaborating across decentralized organizations.

• Familiarity with UT Austin's administrative computing environment. 

• Experience with metadata management software. 

$80,000 + depending on qualifications

• May work around standard office conditions.

• Repetitive use of computer equipment.

• Hybrid/flex work options available

• Resume/CV

• 3 work references with their contact information; at least one reference should be from a supervisor

• Letter of interest

Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded.  Once your job application has been submitted, you cannot make changes.

Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.