Principal Data Engineer (Remote)

Job Posting Title: Principal Data Engineer (Remote) Hiring Department: Data to Insights Position Open To: All Applicants Weekly Scheduled Hours: 40 FLSA Status: Exempt Earliest Start Date: Immediately Position Duration: Expected to Continue Until Aug 31, 2026 Location: Texas 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. Benefits: 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 Purpose: The Principal Data Engineer for the UT Data Hub improves university outcomes and advances the UT mission by increasing the usability and value of institutional data. You will be responsible for leading the data engineering team to innovate and implement the newest data engineering trends and best practices to create complex data pipelines within UT's cloud data ecosystem. Responsibilities: Technical Leadership Design, plan, develop and deploy production quality enterprise level data pipelines using Cloud technologies. Conduct and participate in code reviews for high-quality code. 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 compliance. Project Management & Collaboration Provide technical leadership and mentor data engineering team members. Collaborate with technical architects and groups across campus. Communication Provide regular updates on project status to technical and non-technical audiences. Ensure all project deliverables are documented for future reference and training. Innovation Coordinate research and development of advanced technology systems and development projects. Stay up to date with the latest tools, frameworks, and technologies in data engineering. Other Participate in hiring and recruitment activities of new team members. Other duties as assigned. Required Qualifications: BS or MS degree in Computer Science, Information Systems, Engineering, or equivalent professional experience. 5 - 8 years of Data Engineering experience with Amazon Web Services. 3 years of experience in Cloud Architecture and Data Strategy. Proficient in designing scalable, high-performance data architecture and data pipelines. Expert programming skills in Python and SQL knowledge. Preferred Qualifications: Eight years of experience in Data Engineering or related field. Experience with Agile software development methodologies. Salary Range: $125,000 - $143,712 Working Conditions: May work around standard office conditions. Up to 100% remote at employee discretion. Required Materials: Resume/CV, 3 work references, Letter of interest. Equal Opportunity Employer: The University of Texas at Austin complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. #J-18808-Ljbffr

Created: 2025-01-14