Lead Data ETL Engineer

Job Details

General Notes

The Data to Insights (D2I) Initiative at UT Austin is an investment to build a trusted, integrated, and scalable information infrastructure that transforms complex UT data into valued insights for data-informed decisions.

As a team member in the Data to Insights (D2I) Initiative, you will work with a cross-campus team using the latest cloud technologies to build a next-generation data ecosystem that will improve decision-making and advance the university’s mission.

We believe the best ideas arise from collaborative work among colleagues from varied backgrounds and experiences. If you’re the type of person who loves to learn and wants to know your work has meaning, you may find your career home at UT Austin.

Please note that this position is currently funded through August 31, 2026

The University of Texas at Austin provides an outstanding benefits package to staff, including :

• Competitive health benefits (Employee premiums covered at 100%; family premiums at 50%)
• Vision, dental, life, and disability insurance options
• Paid vacation, sick leave, and holidays
• Teachers Retirement System of Texas (a defined benefit retirement plan)
• Additional voluntary retirement programs : tax sheltered annuity 403(b) and a deferred compensation program 457(b)
• Flexible spending account options for medical and childcare expenses
• Training and conference opportunities
• Tuition assistance
• Athletic ticket discounts
• Access to UT Austin's libraries and museums
• Free rides on all UT Shuttle and Capital Metro buses with staff ID card

For more details, please see : and

This position requires you to maintain internet service and a mobile phone with voice and data plans to be used when required for work.

This position provides life / work balance with typically a 40-hour work week and travel generally limited to training (e.

g., conferences / courses).

Purpose

The Lead Data ETL Engineer for the UT Data Hub improves university outcomes and advances the UT mission to transform lives for the benefit of society by increasing the usability and value of institutional data.

The Lead Data ETL Engineer designs and develops extract, transform, and load (ETL) procedures using integration tools such as Informatica for complex data models that reflect academic and administrative business processes at the University of Texas at Austin.

The Lead Data ETL Engineer supervises the Data ETL Engineer group and plays a critical part in establishing a valuable cloud data warehouse that supports critical business decisions and data analysis processes for the campus community.

The Lead Data ETL Engineer leverages their creativity to solve complex data and business problems and builds effective relationships through open communication.

Responsibilities

Coaching & Supervision :

• Set goals for performance and deadlines for subordinates
• Organize workflows and ensure that ETL engineers understand their duties or delegated tasks
• Monitor employee productivity and provide constructive feedback and coaching

Development & Design :

• Develop ETL programs for complex dimensional data models within modern data platforms such as AWS Aurora Postgres, Snowflake, etc.
• Interpret and devise data mapping documents
• Design and automate ETL solutions for data cleansing, preparation, data validation and related processes

Adaptation & Maintenance :

• Adapt ETL programs to evolving data models and business needs
• Adapt ETL programs in response to data quality assurance findings

Communication & Collaboration :

• Partner with key stakeholders including enterprise data architect, subject matter experts (SMEs), data modelers, and teammates
• Guide complex technical projects, enabling effective communication and collaboration with project stakeholders

Other duties as assigned

Required Qualifications

• BS degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.
• At least five years of experience designing and implementing ETL technical solutions for complex data models using multiple data sources.
• Two years of experience with Informatica, Python, SQL, and PL / SQL.
• Demonstrated expert judgment in selecting methods, techniques, and evaluation criteria for designing ETL solutions and optimizing ETL performance.
• Two to five years experience with Oracle and AWS PostgreSQL database environments including proficiency with scripting languages.
• Strong communication and collaboration skills and good documentation habits.
• Demonstrated experience with orchestration and automation of database processes.
• Strong aptitude for troubleshooting and problem solving.
• Three to five years serving as technical lead or manager.
• Team player, comfortable communicating cross-functionally and across management levels.
• Self-motivated and able to organize work independently in a rapidly changing environment.

Preferred Qualifications

• Graduate degree in computer Science or related field with eight years of professional experience as an ETL Developer utilizing Informatica, IBM DataStage, SQL, PL / SQL, and Python.
• Three years of experience working in a cloud-based data warehouse environment.
• Experience with multiple types of databases.
• Experience with high availability database implementations.
• Basic networking knowledge as it relates to database systems.
• Informatica and AWS certifications.
• Strong knowledge of Quality Assurance processes, test case development and execution.
• Knowledge of Agile software development methodologies (Kanban, Scrum). Experience with issue tracking systems (JIRA).

Salary Range

$115,000 + depending on qualifications

Working Conditions

Typical office environment

Repetitive use of a keyboard

Occasional extended work hours or on-call obligation

Up to 100% remote at employee discretion with office work environment also an option. Majority of team is located in Austin, TX, and working remotely with infrequent in-office presence.

Required Materials

Resume / CV

• 3 work references with their contact information; at least one reference should be from a supervisor
• Letter of interest

Important for applicants who are NOT current university employees or contingent workers : You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications.

Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section;

you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded.

Once your job application has been submitted, you cannot make changes.

Important for Current university employees and contingent workers : As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs.

If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply.

This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume.

In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.

that were noted above.

Employment Eligibility :

Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers.

Staff who are promotion / transfer eligible may apply for positions without supervisor approval.

Retirement Plan Eligibility :

The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.

Background Checks :

A criminal history background check will be required for finalist(s) under consideration for this position.