Senior Data Engineer

Job Posting Title:

Senior Data Engineer

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Hiring Department:

Enterprise Technology - Data to Insights (D2I)

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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 Dec 19, 2026

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Location:

Texas

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Job Details:

General Notes

This is a fixed term position that is expected to continue for a 1-year limited term from start date with a possibility for extension.

Flexible work arrangements are available for this position, including the ability to work 100% remotely. Remote work for individuals who reside outside Texas but within the United States and its territories will be considered and requires Central Office approval.

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

Enterprise Technology is dedicated to supporting the mission of the University of Texas at Austin of unlocking potential and preparing future leaders of the state.

Your skills will make a difference.

You’ll be working for a university that is internationally recognized for research and the work you do will make a difference in the lives of our students, faculty and staff. If you’re the type of person that wants to know your work has meaning and impact, you’ll like working for our campus.

The University of Texas at Austin and Enterprise Technology provide an outstanding benefits package to our staff. Those benefits include:

• 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 

Must be authorized to work in the United States on a full-time basis for any employer without sponsorship.

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

Purpose

The Senior 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:

• Lead the design, development, and automation of scalable, high-performance data pipelines across institutional systems, AWS, Databricks, and external vendor APIs. 
• Implement Databricks Lakehouse architectures to unify structured and unstructured data, enabling AI-ready data platforms that support advanced analytics and machine learning use cases. 
• Build robust and reusable ETL/ELT workflows using Databricks, Spark, Delta Lake, and Python to support batch and streaming integrations. 
• Ensure performance, reliability, and data quality of data pipelines through proactive monitoring, optimization, and automated alerting. 
• Partner with business and technical stakeholders to define and manage data pipeline parameters—including load frequency, transformation logic, and delivery mechanisms—ensuring alignment with analytical and AI goals. 
• Ensure all data engine