Senior Data Engineer

Job Posting Title:

Senior Data Engineer

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Hiring Department:

Data to Insights

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Position Open To:

All Applicants

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Weekly Scheduled Hours:

40

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FLSA Status:

Exempt

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Earliest Start Date:

Immediately

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Position Duration:

Expected to Continue Until Aug 31, 2026

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Location:

Texas

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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: 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 Data 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 useability and value of institutional data. You will create complex data pipelines into UT’s cloud data ecosystem in support of academic and administrative needs. In collaboration with our team of data professionals, you will help build and run a modern data hub to enable advanced data-driven decision making for UT. You will leverage your creativity to solve complex technical problems and build effective relationships through open communication.

Responsibilities

Data Engineering:

• Providing leadership, guidance, and execution as it relates to designing and automating scalable data integration solutions between institutional data sources, including the UT source systems, Amazon Web Services, and vendor APIs
• Assure performance and reliability of integration processes through monitoring, performance analysis and development of automated alerting processes.
• Participate in end-to-end delivery of technical projects involving design and development of advanced data pipelines for complex datasets.
• Work closely with business partners to design and manage data pipeline elements including load frequency, data delivery mechanisms, and transformations.
• Ensure that data pipeline solutions align with industry best practices, and adhere to UT security guidelines.
• Develop and maintain detailed technical documentation of data pipeline processes.
• Collaborate with key stakeholders including enterprise data architect, data modelers, data stewards, and subject matter experts (SMEs).
• Actively participate in improving data engineering processes and pipelines.
• Proactively learn about the latest technologies and emerging trends in the data engineering space that may be applicable to our work in D2I.

Collaboration, Support, & Communication: