Student Employee - Teaching Assistant - Computer Science

Ensign College

Last Updated: 9/11/2025 10:06:26 PM

Position Closed

Live Market Data for this Exact Role

These metrics reveal the true, unfiltered history of this specific position. We track the exact number of days the requisition has been active and monitor real salary range fluctuations over time, helping you verify compensation trends before applying.

Current Days Open
62
Reqs Seen
3
Current Min Salary
$14.00 (Hourly)
Current Max Salary
$14.25 (Hourly)
Historical Time to Fill
42
First Seen
7/12/2025
Lowest Min Salary Seen
$14.00 (Hourly)
9/12/2025
Highest Max Salary Seen
$14.25 (Hourly)
9/12/2025

Full Job Description

Position Summary: Student Employees are eligible to work on campus in a part time capacity according to Ensign College Student Employment Policy. In addition to fulfilling this purpose, each employee continuously strives to bring about the mission of Ensign College, which is to develop capable and trusted disciples of Jesus Christ. Hours: 15-19 hours a week during semester and the starting wage for all student employees is $14.00 per hour with the possibility of $.25 rate increase each semester of continued work based on merit. Specific Summary of Duties: Help with curriculum development projects by creating programming assignments Help with curriculum development projects by writing automated unit tests for programming assignments Help with curriculum development projects by updating canvas with instructions for completing programming assignments Help students who approach them for help and refer to the tutoring office for scheduled tutoring appointments Job Qualification: Be currently enrolled as an Ensign College student taking at least 6 credits. Ability to produce effective written correspondence through email and other written communication. Have the ability to communicate effectively, listen and respond appropriately. Highly self-motivated, hard worker, creative, and has a great attention to detail. Ability to establish and maintain positive relationships with the supervisor, team members, faculty, and staff. Ability to solve problems and ask for clarification as needed. Proficient in Office 365 and Canvas. Experience with at least two of the following languages: JavaScript Python Java In addition to fulfilling this purpose, each employee continuously strives to bring about the mission of Ensign College, which is to develop capable and trusted disciples of Jesus Christ. All employees accept as conditions of employment that they will: Refrain from behavior or expression that seriously and adversely affects the college mission or the Church of Jesus Christ of Latter-day Saints, Act in accordance with the Church Educational System Honor Code and the Dress and Grooming Principles and Expectations, (See Employee Conduct Policy), Comply with all college policies and procedures, Commitment to bring about the purposes of Ensign College, Maintain these conditions of employment on an ongoing basis. Ensign College is an equal opportunity employer and does not unlawfully discriminate in its hiring or employment practices on the basis of race, color, national or ethnic origin, sex (including pregnancy), age, disability, genetic information, or veteran's status. As an educational institution owned and operated by The Church of Jesus Christ of Latter-day Saints, Ensign College gives lawful hiring preference to qualified, faithful members of the Church who are in good standing. Founded in 1886, Ensign College educates 2,200 students annually from 43 U.S. states and more than 30 countries. Ensign College trains students to be job-ready proficient in one to two years at its campus in downtown Salt Lake City and online. It offers in-demand professional certificates and associate degrees, allowing students to earn a working wage while furthering their education. Sponsored by The Church of Jesus Christ of Latter-day Saints, Ensign College helps students achieve self-reliance in a Christ-centered environment. Call (801) 524-8100 or visit www.ensign.edu to learn more.

Similarity vs. Compensation Matrix

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