Title: Senior Data Engineer

Employee Classification: Sr Data Engineer

Campus: University of North Texas - System Administration

Division: SYS-Information Technology

SubDivision-Department: SYS-Information Technology

Department: SYS-Information Technology-925000

Job Location: Denton

Salary: Salary Commensurate With Experience

FTE: 1.000000

Retirement Eligibility: TRS Eligible

About Us - Values Overview:

Department Summary

System IT is a component of The University of North Texas System. The mission of System IT is simple: to be the best at delivering customer-aligned IT solutions and services. Our services are provided to all member institutions using an IT shared services governance model.

System IT provides the primary technology used by all campuses to support their operations. These include: shared resources of data centers, computing hardware, software applications, network and voice communications, collaboration and productivity capabilities, central web services, risk management, and security and compliance services. As a department, we strive to provide the most professional personnel possible to serve our campus constituents.

The University of North Texas is a state employer offering great benefits, including medical, dental, life, retirement, ample paid time off, and great work/life balance.

Position Overview

The role necessitates that the individual possesses strong expertise in cloud data engineering as well as data management leadership skills. The Senior Data Engineer leads and collaborates with clients, data stewards, project/program managers, and other IT teams to transform data into valuable information and insights for informed organizational decision-making. They integrate business strategy with statistical, mathematical, and predictive modeling expertise to deliver timely, consistent, and reliable information to their team and customers. Additionally, they propose innovative and creative solutions to problems by applying data mining techniques to uncover new patterns from large data sets.

Minimum Qualifications

Bachelor's degree in computer science or a related field, and seven years' experience in data engineering, data analytics, data management, or closely related field; or any equivalent combination of education, experience and training.

Knowledge, Skills and Abilities

Technical Skills: Demonstrated expertise in cloud data engineering, particularly with the Microsoft Fabric data platform, is highly advantageous. Extensive experience in data warehouse data modeling and analysis. Advanced proficiency in scripting languages such as Python, Pyspark, R, and Windows PowerShell. Highly proficient in creating and managing data visualizations using tools like Power BI or Tableau.

Problem Solving: Independent and innovative thinker with a strong ability to tackle complex data, research, and statistical challenges. Skilled in handling and integrating data from diverse sources, with exceptional analytical and quantitative capabilities.

Communication: Excellent verbal and written communication skills.

Continuous Learning: Dedicated to staying current with the latest trends in analytics and business intelligence within higher education.

Integration of Business Strategy: Capable of integrating business strategy with statistical, mathematical, and predictive modeling expertise to provide timely, consistent, and reliable information to the team and customers.

Mentorship and Guidance: Adept at providing mentorship and guidance to junior Data Engineers, fostering their technical skills and professional growth.

Preferred Qualifications

Preferred: Masters Degree in Computer Science or a related field.

Required License/Registration/Certifications

Job Duties:

• % - Cloud Data Engineering Expertise: Demonstrate strong expertise in cloud data engineering, with a particular focus on the Microsoft Fabric data platform. - ()
• % - Data Modeling and Analysis: Perform data modeling and data analysis to support various business needs. - ()
• % - Proficiency in Scripting Languages: Utilize scripting languages such as Python, PySpark, R, and Windows PowerShell to develop and maintain data solutions. - ()
• % - Visualization Skills: Create and manage data visualizations using tools like Power BI, Tableau, and other similar platforms. - ()
• % - AI Skills: Apply data science technologies, including Azure AI/ML and AI Chatbots, to enhance data-driven decision-making processes. - ()
• % - Collaboration: Lead and collaborate with clients, data stewards, project/program managers, and other IT teams to transform data into valuable information and insights for informed organizational decision-making. - (Essential)
• % - Integration of Business Strategy: Integrate business strategy with statistical, mathematical, and predictive modeling expertise to deliver timely, consistent, and reliable information to the team and customers. - (Essential)
• % - Mentorship and Guidance: Provide mentorship and guidance to junior Data Engineers, helping them develop their technical skills and grow professionally. - (Essential)
• % - Agile Skills: Demonstrate proficiency in Agile Projects methodologies. - (Essential)

Physical Requirements:

Communicating with others to exchange information.

Environmental Hazards:

No adverse environmental conditions expected.

Work Schedule:

Generally, M-F, 8am - 5pm

Driving University Vehicle:

No

Security Sensitive:

This is a Security Sensitive Position.

Special Instructions:

Applicants must submit a minimum of two professional references as part of their application. If needed, additional references can be added after the application has been submitted. 

Benefits:

For information regarding our Benefits, click here.

EEO Statement:

The University of North Texas System is firmly committed to equal opportunity and does not permit -- and takes actions to prevent -- discrimination, harassment (including sexual violence, domestic violence, dating violence and stalking) and retaliation on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, or veteran status in its application, employment practices and facilities; nor permits race, color, national origin, religion, age, disability, veteran status, or sex discrimination and harassment in its admissions processes, and educational programs and activities, facilities and employment practices. The University of North Texas System promptly investigates complaints of discrimination, harassment and related retaliation and takes remedial action when appropriate. The University of North Texas System also takes actions to prevent retaliation against individuals who oppose any form of harassment or discriminatory practice, file a charge or report, or testify, assist or participate in an investigative proceeding or hearing.