Lead Data QA Engineer
The University of Texas at AustinAbout the role
Job Posting Title:
Lead Data QA Engineer----
Hiring Department:
Data to Insights----
Position Open To:
All Applicants----
Weekly Scheduled Hours:
40----
FLSA Status:
Exempt----
Earliest Start Date:
Immediately----
Position Duration:
Expected to Continue Until Aug 31, 2026----
Location:
Texas----
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: https://hr.utexas.edu/prospective/benefits and https://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 appropr
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