Data Engineer II: Scalable Healthcare Data Pipelines

The University of Texas at Austin; Austin (TX); Hybrid; USD 80,951 - 98,940; Full time

Job summary

The University of Texas is looking for a Data Engineer II at their Dell Medical School. This position focuses on designing and optimizing data pipelines, ensuring data accuracy and compliance, and collaborating across departments to support healthcare data initiatives.

Ideal candidates will have a Bachelor's in Computer Science or related fields and significant experience in data engineering, particularly in healthcare environments. A Master's degree is preferred. Work can be hybrid.

Qualifications

• Requires at least 4 years of experience in data engineering.
• Proven track record in database development using Python and SQL.
• Master's degree preferred with at least 7 years of experience in healthcare data engineering.

Responsibilities

• Design, build, and optimize data pipelines.
• Collaborate with cross-functional teams to define data needs.
• Ensure adherence to data governance and security standards.

Skills

Data pipeline architecture

ETL processes

SQL

Python

Apache Spark

Workflow orchestration

Data governance

BigQuery

Education

Bachelor's Degree in Computer Science or related field

Tools

Microsoft Fabric

AWS Glue

Apache Airflow

Job description

The University of Texas is looking for a Data Engineer II at their Dell Medical School. This position focuses on designing and optimizing data pipelines, ensuring data accuracy and compliance, and collaborating across departments to support healthcare data initiatives.

Ideal candidates will have a Bachelor's in Computer Science or related fields and significant experience in data engineering, particularly in healthcare environments. A Master's degree is preferred. Work can be hybrid.