Lead Data Engineer

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Job Details:

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: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards

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).

The Lead Data 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 useability and value of institutional data. You will lead senior data engineers and data engineers to create complex data pipelines within UT's cloud data ecosystem in support of academic and administrative needs. In collaboration with our team of data professionals, you will help build and run a modern data hub to enable advanced data-driven decision making for UT. You will leverage your creativity to solve complex technical problems and build effective relationships through open communication within the team and outside partners.

Technical Leadership

• Design, plan, develop and deploy production quality enterprise level data pipelines using Cloud technologies with a team of data engineers using new and emerging industry standard tools, frameworks, and best practices.
• Conduct and participate in code reviews for a high-quality code.
• Contribute and ensure industry best practices are implemented for data engineering, SDLC, process improvements.
• Identify and address bottlenecks in data pipelines while looking for optimizations, performance, and scalability.
• Develop systems to ensure data quality, consistency, cost optimization and security compliances.
• Contribute to coding, debugging, and solving complex engineering challenges.
• Lead technical knowledge share sessions by discussing current industry trends in Data Engineering

Project Management

• Define project milestones, timelines, and deliverables for on-time delivery.
• Collaborate with both internal and external stakeholders like Data or System Architects, business users, Agile team and other D2I internal groups.
• Manage, prioritize, and track team and project work while balancing some urgent requests.
• Actively communicate and manage risks, roadblocks, and resources allocations for on-time delivery of the projects.
  

Team Management and Leadership

• Supervise a team of data engineers (2-5 individuals).
• Provide guidance, mentorship and career development to data engineers by fostering a culture of learning and professional growth.
• Participate in hiring and recruitment activities for new team members.
• Conduct regular performance reviews, provide feedback, and set development goals for team members.
• Promote collaboration within the team and across departments for smooth execution of projects.
  

Communication

• Provide regular updates on project status, team performance, and technical challenges to technical and non-technical audience.
• Provide constant feedback to encourage a growth mindset and continuous learning with direct reports.
• Ensure all project deliverables (technical, process and best practices) are documented for future reference and training.

Innovation and Other Duties

• Keep abreast with new data engineering technologies, trends and methodologies and introduce innovative solutions when appropriate.
• Other duties as assigned.

• BS or MS degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.
• 5 years of Data Engineering experience with Amazon Web Services.
• Eight plus years of experience in designing, implementing, troubleshooting, and monitoring complex production data pipelines or enterprise software solutions.
• 3 years of experience managing a team of software and (or) data engineers.
• Expert programming skills in Python, CDK scripting and SQL knowledge including stored procedures.
• Experience in designing and implementing complex ETL or ELT pipelines in relational and non-relational databases including Data Lakes.
• Three years of experience developing and implementing Continuous Integration and Continuous Delivery (CI/CD) systems.
• Five plus years of experience developing and implementing test driven architecture solutions.
• Experience supervising junior team members, either in project-based work or formally via managerial reporting.
• Expert in systems analysis, design, development, quality assurance, and integration methodologies.
• Excellent problem solving, analytical and troubleshooting skills.
• Excellent verbal and written communication to communicate both to technical and non-technical audiences.
• Relevant education and experience may be substituted as required.

• Eight years of experience in Data Engineering or related field with at least five years of hands-on experience designing and building complex data pipelines using cloud-based infrastructure, preferably AWS Technologies.
• Five years of experience or more with Agile software development methodologies and tracking software.
• Three plus years of experience managing teams. Experience in identifying and implementing software development.
• Experience with Data Lakes, Delta Lakes, Lakehouse, Lakehouse, Spark, Hive, Apache Airflow, Testing Frameworks, Streaming Pipelines, Kafka etc., is a plus.

$130,000 - $143,712

• May work around standard office conditions
• Repetitive use of a keyboard at a workstation
• Use of manual dexterity
• 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.

• 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.

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Employment Eligibility:

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Retirement Plan Eligibility:

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Background Checks:

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

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Equal Opportunity Employer:

The University of Texas at Austin, as an equal opportunity/affirmative action employer,complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

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Pay Transparency:

The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

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Employment Eligibility Verification:

If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.

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E-Verify:

The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:

• E-Verify Poster (English) [PDF]
• E-Verify Poster (Spanish) [PDF]
• Right To Work Poster (English) [PDF]
• Right To Work Poster (Spanish) [PDF]

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Compliance:

Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.

The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.