Lead Data Engineer, Healthcare Analytics & Pipelines

The University of Texas at Austin; Austin (TX); On-site; USD 124,000 - 152,000; Full time

Job summary

The University of Texas at Austin is seeking a Senior Data Engineer to lead enterprise data pipelines and platform design in Austin, Texas. Reporting to the Director of Data Intelligence, you will mentor engineers, collaborate with data scientists and analysts, and drive scalable, secure data solutions supporting clinical, operational, financial, and research domains.

This role emphasizes advanced analytics, automation, and AI/ML readiness while coordinating with cross-functional teams.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems or a related field.
• At least 6 years of experience in data engineering, analytics engineering, or data platform development.
• Demonstrated experience designing and leading complex data pipelines and data platforms.

Responsibilities

• Leads design and optimization of data pipelines for analytics.
• Owns data platforms, architectures, and data lake/warehouse structures.
• Enables advanced analytics and data science through curated datasets.
• Mentors Data Engineers and leads medium-to-large initiatives.
• Collaborates with stakeholders to translate requirements into technical solutions.

Skills

SQL

Python

Data modeling

Collaboration

Education

Bachelor's Degree in CS/Data Eng/Info Systems

Master’s Degree in Data Science/Data Engineering (preferred)

Tools

Spark

Airflow

Cloud platforms

Job description

The University of Texas at Austin is seeking a Senior Data Engineer to lead enterprise data pipelines and platform design in Austin, Texas. Reporting to the Director of Data Intelligence, you will mentor engineers, collaborate with data scientists and analysts, and drive scalable, secure data solutions supporting clinical, operational, financial, and research domains.

This role emphasizes advanced analytics, automation, and AI/ML readiness while coordinating with cross-functional teams.