Lead Data QA Engineer

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Position Duration:

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Job Details:

General Notes

The Data to Insights (D2I) Initiative at UT Austin is an investment to build a trusted, integrated, and scalable information infrastructure that transforms complex UT data into valued insights for data-informed decisions.

As a team member in the Data to Insights (D2I) Initiative, you will work with a cross-campus team using the latest cloud technologies to build a next-generation data ecosystem that will improve decision-making and advance the university's mission. We believe the best ideas arise from collaborative work among colleagues from varied backgrounds and experiences. If you're the type of person who loves to learn and wants to know your work has meaning, you may find your career home at UT Austin. Please note that this position is currently funded through August 31, 2026

The University of Texas at Austin provides an outstanding benefits package to staff, including:

• Competitive health benefits (Employee premiums covered at 100%; family premiums at 50%)
• Vision, dental, life, and disability insurance options
• Paid vacation, sick leave, and holidays
• Teachers Retirement System of Texas (a defined benefit retirement plan)
• Additional voluntary retirement programs: tax sheltered annuity 403(b) and a deferred compensation program 457(b)
• Flexible spending account options for medical and childcare expenses
• Training and conference opportunities
• Tuition assistance
• Athletic ticket discounts
• Access to UT Austin's libraries and museums
• Free rides on all UT Shuttle and Capital Metro buses with staff ID card

For more details, please see: /hr.utexas.edu/prospective/benefits and /hr.utexas.edu/current/services/my-total-rewards

This position requires you to maintain internet service and a mobile phone with voice and data plans to be used when required for work.

This position provides life/work balance with typically a 40-hour work week and travel generally limited to training (e.g., conferences/courses).

Purpose

The Lead Data QA Engineer for the UT Data Hub improves university outcomes and advances the UT mission to transform lives for the benefit of society by increasing the usability and value of institutional data.

The Lead Data QA Engineer works closely with, and supervises other team members to design, implement and manage manual and automated data quality assurance processes.

Responsibilities

• Reviews and analyzes requirements, specifications and technical design documents, and provides timely feedback.
• Develop detailed, comprehensive, automated, and well-structured test plans and test cases.
• Create and execute test plans, including regression testing, while applying a keen eye for detail and a commitment to excellence.
• Identify and reports issues found and verify that issues are resolved.
• Create testing infrastructure and strategy, supporting and controlling all relevant testing procedures.
• Lead the collaborative design, development and support of the testing infrastructure as well as supervising subordinate Data QA Engineers as required.

Required Qualifications

• BS degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.
• Fundamental understanding of data flows and data quality issues.
• Proven experience in data/software quality assurance with hands-on experience with automated testing tools.
• Proven experience in programming in Python, Java, or other programming languages applicable to this context.
• Strong knowledge of data QA methodologies, tools, and processes.
• Strong experience with relational databases such as Postgres, Oracle, SQL Server, etc.
• Strong aptitude for troubleshooting and problem solving.
• Three to five years experience leading or managing technical staff.
• Team player, comfortable communicating cross-functionally and across management levels.
• Self-motivated and able to organize work independently in a rapidly changing environment.
• Equivalent combination of relevant education and experience may be substituted as appropriate.

Preferred Qualifications

• Experience in test automation in a CI/CD environment.
• AWS certification.
• Knowledge of Agile software development methodologies (Kanban, Scrum).
• Experience with issue tracking systems (JIRA). Experience with Informatica.

Salary
$ 115,000 + depending on qualifications

Working Conditions

• Typical office environment

• Repetitive use of a keyboard

• Occasional extended work hours or on-call obligation

• Up to 100% remote at employee discretion with office work environment also an option. Majority of team is located in Austin, TX, and working remotely with infrequent in-office presence.

Required Materials

• 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.

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Employment Eligibility: