Base: $125,000 - $143,712; bonus/equity: not speci...
On-site
5+ years data pipeline experience
Databricks and aws expertise
Python pyspark sql proficiency
The Lead Data Engineer will lead a team to create complex data pipelines within UT's cloud data ecosystem to support academic and administrative needs
Job Summary
The Lead Data Engineer will lead a team to create complex data pipelines within UT's cloud data ecosystem to support academic and administrative needs.
This position offers a competitive benefits package including fully covered employee health premiums and access to the Teachers Retirement System of Texas.
The role involves designing production-grade, scalable data pipelines using Databricks, AWS cloud-native services, and modern data engineering frameworks.
Matching Summary
The Lead Data Engineer will lead a team to create complex data pipelines within UT's cloud data ecosystem to support academic and administrative needs.
Salary
Base: $125,000 - $143,712; Bonus/Equity: Not specified; Benefits: Competitive health (100% employee premium), TRS retirement, tuition assistance
Skills & Requirements
Must-have
5+ years data pipeline experience
Databricks and AWS expertise
Python PySpark SQL proficiency
Team leadership of 2-5 engineers
Lakehouse architecture implementation
CI/CD and Infrastructure as Code
Nice-to-have
AI/ML integration experience
Agile project management skills
Databricks certification preferred
Streaming framework knowledge
Cost optimization strategies
Continuous learning mindset
Key Requirements
Bachelor's or Master's degree in CS or related field
5+ years designing enterprise-scale data platforms
3+ years managing data engineering teams
Must be authorized to work in the US without sponsorship
Work Rights
Must be authorized to work in the United States on a full-time basis for any employer without sponsorship