Data Engineer

Title: Data Engineer

Employee Classification: 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: Commensurate with experience

FTE: 1.000000

Retirement Eligibility:

About Us - Values Overview:

Welcome to the University of North Texas System. The UNT System includes the University of North Texas in Denton and Frisco, the University of North Texas at Dallas and UNT Dallas College of Law, and the University of North Texas Health Science Center at Fort Worth. We are the only university system based exclusively in the robust Dallas-Fort Worth region. We are growing with the North Texas region, employing more than 14,000 employees, educating a record 49,000+ students across our system, and awarding nearly 12,000 degrees each year.   We are one team comprised of individuals who are committed to excellence, curiosity and innovation. We are transforming lives and creating economic opportunity through education. We champion a people-first values-based culture where We Care about each other and those we serve. We believe that we are Better Together because we foster an inclusive environment of respect, belonging, and access for all. We demonstrate Courageous Integrity through setting exceptional standards and acting in the best interest of our communities. We are encouraged to Be Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our UNT System team.   Learn more about the UNT System and how we live our values at www.UNTSystem.edu.

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.

Position Overview

The Data Engineer 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

Bachelors degree and four (4) years related experience; or any equivalent combination of education and experience.

Knowledge, Skills and Abilities

• Proficient in scripting languages such as Python, R, and Windows PowerShell.
• Extensive experience in data modeling and data analysis.
• Familiarity with Microsoft Fabric is advantageous.
• Demonstrates independent and creative thinking in addressing research and statistical challenges.
• Skilled in handling data from diverse sources.
• Strong analytical and quantitative abilities.
• Excellent verbal and written communication skills.
• Keeps up to date with the latest trends in analytics and business intelligence within higher education.

Preferred Qualifications

The ideal candidate should have the following qualifications:

Proficiency in visualization tools such as Power BI and Tableau.
Familiarity with scripting languages like Python, R, and Windows PowerShell.
Strong SQL development skills.
Knowledge of data modeling.
Understanding of API integrations and data ingestion processes.
Experience with data warehouse and data architecture.
Exceptional communication skills and attention to detail.
Background in using Lean principles, Agile processes, and Kanban tools.

Required License/Registration/Certifications

 

Job Duties:

• Collaborates with business leaders to understand their requirements, researches and analyzes potential solutions to enhance business performance using data analytics and visualization tools such as Power BI and Tableau, by developing key performance indicators, dashboards and reports. 
• Data modeling and designing marts, along with developing stored procedures, to support business needs and facilitate easy data interpretation. 
• Providing timely support and resolution for data-related issues. 
• Supporting various project needs, including data integrations, data feeds, and data extracts. 
• Support Data Governance Activities 
• Data ingestion and transformation utilizing scripts, APIs, SQL, and automation tools. 
• Learn new upcoming technologies and work towards improvement of Data Analytics Processes. 

Work Schedule:

Generally, M-F, 8am-5pm

Driving University Vehicle:

No

Security Sensitive:

This is a Security Sensitive Position.

Special Instructions:

 

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.