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: 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.

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:

• 20% - 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. - (Essential)
• 20% - Data modeling and designing marts, along with developing stored procedures, to support business needs and facilitate easy data interpretation. - (Essential)
• 10% - Providing timely support and resolution for data-related issues. - (Essential)
• 10% - Supporting various project needs, including data integrations, data feeds, and data extracts. - (Essential)
• 5% - Support Data Governance Activities - (Essential)
• 30% - Data ingestion and transformation utilizing scripts, APIs, SQL, and automation tools. - (Essential)
• 5% - Learn new upcoming technologies and work towards improvement of Data Analytics Processes. - (Essential)

Physical Requirements:

• Communicating with others to exchange information.
• Moving self in various positions to perform tasks in tight and confined spaces.
• Sedentary work that primarily involves sitting/standing.
• Moving about to accomplish tasks or moving from one worksite to another.
• Repeating motions that may include the wrists, hands and/or fingers.

Environmental Hazards:

No adverse environmental conditions expected.

Work Schedule:

Generally, Mon-Fri, 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.