Senior Data Engineer: Scale Pipelines & Analytics

University of Texas at Austin; Austin (TX); On-site; USD 138,000 - 165,000; Full time

Job summary

University of Texas at Austin's Dell Medical School seeks a Senior Data Engineer to lead design and optimization of complex data pipelines supporting enterprise analytics in clinical, operational, financial, and research domains. Reporting to Director of Data Intelligence, you will partner with data scientists, analysts, software engineers, and stakeholders to deliver scalable, secure data solutions.

You will own data platforms, enforce modeling standards, and mentor engineers, while advancing

Qualifications

• Advanced proficiency in SQL and Python for data engineering.
• Experience building scalable data pipelines and ETL/ELT patterns.
• Strong knowledge of data modeling, governance, and security in healthcare.
• Familiarity with HL7 or FHIR is a plus.

Responsibilities

• Lead design and optimization of large-scale data pipelines.
• Own data platforms, architectures, and governance for analytics.
• Collaborate with data scientists, analysts, and stakeholders.
• Mentor junior engineers and promote best practices in CI/CD and testing.

Skills

SQL

Python

Spark

Airflow

Cloud platforms

Data modeling

Data governance

Education

Bachelor’s in CS/Data Eng

Tools

Spark

Airflow

Cloud services

Job description

University of Texas at Austin's Dell Medical School seeks a Senior Data Engineer to lead design and optimization of complex data pipelines supporting enterprise analytics in clinical, operational, financial, and research domains. Reporting to Director of Data Intelligence, you will partner with data scientists, analysts, software engineers, and stakeholders to deliver scalable, secure data solutions.

You will own data platforms, enforce modeling standards, and mentor engineers, while advancing