Data ETL Engineer

The University of Texas at Austin is seeking a Data ETL Engineer to join their Enterprise Technology - Data to Insights (D2I) team. This role is crucial in improving university outcomes by increasing the usability and value of institutional data through the development of extract, transform, and load (ETL) procedures.

The position offers a flexible work arrangement with the option to work 100% remotely within the United States. As a Data ETL Engineer, you'll be responsible for developing ETL programs using tools like Informatica for complex data models that support critical business decisions and data analysis processes for the campus community.

The role offers an excellent work-life balance with a 40-hour work week and limited travel requirements. You'll be working with modern data platforms such as AWS Aurora Postgres and Snowflake, designing and implementing ETL solutions that handle complex data transformations and integrations.

The university provides an outstanding benefits package including fully covered employee health premiums, retirement benefits through the Teachers Retirement System of Texas, and additional perks such as tuition assistance and access to university facilities. The salary range of $110,000 - $124,968 reflects the technical expertise required for this position.

This is an excellent opportunity for a data engineering professional who wants to make a meaningful impact in higher education while working with modern technologies and enjoying comprehensive benefits. The position requires 2 years of relevant experience and offers growth opportunities in a collaborative, mission-driven environment.

The role is initially set to continue until August 31, 2026, and requires candidates to be authorized to work in the United States without sponsorship. Join a team dedicated to transforming lives through technology and data-driven solutions at one of the nation's leading public research universities.