Temporary Data Engineer (Office of Information Technology)

Posting Details Posting Details Posting Number W00121P Position Title Temporary Data Engineer (Office of Information Technology) Functional Title Data Engineer Department Information Technology-Enterprise Tech. Innovation & Serv Salary Range $35-40 per hour Pay Basis Monthly Position Status Temporary Location Richardson Position End Date (if temporary) Posting Open Date 09/27/2024 Posting Close Date Open Until Filled Yes Desired Start Date 11/01/2024 Job Summary The Enterprise Data Services Team within the Enterprise Technology Innovation and Services department of the Office of Information Technology is seeking a skilled Data Engineer to join our team. The successful candidate will be responsible for creating a data hub using AWS Lake Formation, AWS DataZone, or Azure Data Lake with Synapse, Data Factory, or Fabric. This role requires a deep understanding of data management, cloud platforms, and data integration techniques. The Office of Information Technology (OIT) Enterprise Data Services (EDS) team is looking for someone with data engineering or database administration background, with a preference towards data engineering. A Temporary Database Administrator is also posted and the department will hire for only 1 position. Interested candidates should submit their resume and cover letter detailing their relevant experience and qualifications for one or both positions in order to be considered. This position is temporary and is currently funded through August 31, 2025. Minimum Education and Experience .High school graduate or equivalent. Preferred Education and Experience Bachelor's degree in Computer Science, Information Technology, or a related field and two years of experience. An equivalent combination of relevant education, certification, and/or experience may be considered. At least two years of Data Engineering experience. Proven experience in designing and implementing data solutions using AWS Lake Formation, AWS Glue, AWS DataZone, Azure Data Lake with Synapse, Data Factory, or Fabric. Strong understanding of data management principles, data integration, and ETL processes. Proficiency in programming languages such as Python, SQL, and experience with Apache Spark. Experience with cloud platforms (AWS, Azure) and their data services. Experience with Apache SPARK and notebooks. Experience with data visualization tools, particularly PowerBI. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills to work effectively with cross-functional teams. Knowledge of database governance and security best practices. Experience with other data technologies and tools such as Hadoop, Spark, Databricks, etc. Essential Duties and Responsibilities Design, develop, and implement a data hub using AWS Lake Formation, AWS glue, Cloudformation, AWS DataZone, or Azure Data Lake with Synapse, Data Factory, or Fabric. Develop and maintain data pipelines to ingest, process, and store data from multiple sources. Ensure data quality, security, and compliance with organizational policies and industry standards. Monitor and optimize the performance of the data hub to ensure efficient data processing and retrieval. Provide technical support and troubleshooting for data-related issues. Document data architecture, processes, and workflows for future reference and maintenance. Collaborate with various departments to understand database requirements and ensure seamless data integration. Participate in on-call rotation for supported database environments, both during regular business hours and off-hours (emergency on-call availability 24O7O365) Physical Demands and Working Conditions Physical Activities Working Conditions Additional Information Remote Work Eligibility Statement Remote Work Available https://hr.utdallas.edu/employees/remote-work/ What We Can Offer UT Dallas is an Equal Opportunity Employer. We offer an employee-friendly work environment with a comprehensive benefit package including: Competitive Salary Internal Training Medical insurance - including 100% paid employee medical coverage for full-time employees Dental Insurance Vision Insurance Long and short-term disability Retirement Plan Options Paid time off Paid Holidays All UT Dallas employees have access to various professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. Special Instructions Summary Important Message 1) All employees serve as a representative of the University and are expected to display respect, civility, professional courtesy, consideration of others and discretion in all interactions with members of the UT Dallas community and the general public. 2) The University of Texas at Dallas is committed to providing an educational, living, and working environment that is welcoming, respectful, and inclusive of all members of the university community. UT Dallas does not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, national origin, disability, genetic information, or veteran status in its services, programs, activities, employment, and education, including in admission and enrollment. EOE, including disability/veterans. The University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities. To request reasonable accommodation in the employment application and interview process, contact the ADA Coordinator . For inquiries regarding nondiscrimination policies, contact the Title IX Coordinator .