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Part Time Data Engineer Jobs in Pleasant Grove, UT

We collaborate closely with data scientists, engineers, and product teams to build scalable and ... This is a part-time, work-study-based opportunity for active students in master's and PhD programs.

This is a part-time position (20 hours per week) where you will work closely with creative ... to engineering teams and run point on spot-checking portal data capture systems. What is the team ...

This is a part-time position (20 hours per week) where you will work closely with creative ... to engineering teams and run point on spot-checking portal data capture systems. What is the team ...

This is a part-time position (20 hours per week) where you will work closely with creative ... to engineering teams and run point on spot-checking portal data capture systems. What is the team ...

No Standard Hours per Week 19 Full Time or Part Time? Part Time Shift Day Work Schedule Summary ... With the team, they will develop educational programming, advise material needs, and support data ...

Program Assistant

Salt Lake City, UT

$36K - $46K/yr

No Standard Hours per Week 19 Full Time or Part Time? Part Time Shift Day Work Schedule Summary ... With the team, they will develop educational programming, advise material needs, and support data ...

Showing results 21-40

Part Time Data Engineer information

See Pleasant Grove, UT salary details

$40.1K

$117K

$160.1K

How much do part time data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for part time data engineer in Pleasant Grove, UT is $117,007.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,300.00 and $124,000.00 per year, depending on experience, location, and employer.

What types of projects and responsibilities can I expect as a part time data engineer?

As a Part Time Data Engineer, you might work on projects such as developing and maintaining data pipelines, optimizing database performance, and preparing data for analytics and reporting. Responsibilities often include extracting, transforming, and loading (ETL) data, collaborating with data analysts and scientists, and troubleshooting data-related issues. You may also help implement data quality checks or participate in cloud migration initiatives. The scope of your work will typically be focused and project-based, making sure your contributions have a tangible impact within a flexible schedule.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data management, analytics, and infrastructure projects. Skills in SQL, cloud platforms, and data pipeline tools remain valuable, and remote or flexible roles are increasingly available in the industry.

Can I work remotely as a part time data engineer?

Part time data engineers can often work remotely, especially if the employer supports telecommuting and the role involves tasks like data analysis, pipeline development, or cloud-based tools. Remote work arrangements depend on company policies, project requirements, and the need for collaboration or access to on-site resources.

What is a part time data engineer?

A Part-Time Data Engineer is responsible for designing, building, and maintaining data pipelines and databases on a reduced-hour basis. They work with structured and unstructured data to ensure efficient storage, retrieval, and processing, often collaborating with data analysts and scientists. This role is ideal for professionals seeking flexible work arrangements while still contributing to data infrastructure and analytics. Part-time data engineers may work as freelancers, consultants, or employees with reduced-hour contracts. Their responsibilities can vary based on company needs but typically involve ETL processes, cloud data management, and performance optimization.

What are the key skills and qualifications needed to thrive as a part time data engineer?

To thrive as a Part Time Data Engineer, you need strong programming skills (usually in Python, SQL, or Scala), a solid understanding of data warehousing concepts, and experience with ETL pipelines, typically supported by a relevant degree or equivalent experience. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and relevant certifications such as Google Professional Data Engineer or AWS Certified Data Analytics, are highly valued. Effective time management, problem-solving abilities, and clear communication are standout soft skills for this flexible role. These skills are crucial because they enable part-time data engineers to efficiently deliver reliable data solutions while collaborating across teams in dynamic work environments.

What job categories do people searching Part Time Data Engineer jobs in Pleasant Grove, UT look for? The top searched job categories for Part Time Data Engineer jobs in Pleasant Grove, UT are:
What cities near Pleasant Grove, UT are hiring for Part Time Data Engineer jobs? Cities near Pleasant Grove, UT with the most Part Time Data Engineer job openings:
Infographic showing various Part Time Data Engineer job openings in Pleasant Grove, UT as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $117,007 per year, or $56.3 per hour.

UU Student - Computer

University of Utah

Salt Lake City, UT • On-site

$15/hr

Part-time

Retirement

Re-posted 26 days ago


University Of Utah rating

7.2

Company rating: 7.2 out of 10

Based on 159 frontline employees who took The Breakroom Quiz

383rd of 616 rated colleges and universities


Job description

Announcement
Details
Open Date
06/24/2026
Requisition Number
PRN17158N
Job Title
UU Student - Computer
Working Title
Data Gov Computer Intern
Career Progression Track
SJ
Track Level
FLSA Code
Nonexempt
Patient Sensitive Job Code?
No
Type
Non Benefited Staff / Student
Temporary?
No
Standard Hours per Week
19 hours per week
Full Time or Part Time?
Part Time
Shift
Day
Work Schedule Summary
Monday-Friday, hours to be arranged
Is this a work study job?
No
VP Area
Academic Affairs
Department
00822 - University Analytics & Institutional Reporting
Location
Campus
City
Salt Lake City, UT
Type of Recruitment
External Posting
Pay Rate Range
$15.00/hr
Close Date
09/24/2026
Priority Review Date (Note - Posting may close at any time)
Job Summary
We seek highly motivated student pursing a degree in Computer Science, Information Systems, or other relevant areas of study to help support data governance within the University Analytics and Institutional Reporting (UAIR) department. This opportunity will focus on data management, data governance, and reporting. The position will focus on expanding and enhancing existing code to collect, process, and integrate external data sources into institutional systems.
Skill Development
This is a project oriented internship that will provide hands-on experience in data engineering, automation, and data governance practices. Students will gain experience working with structured and semi-structured data, as well as exposure to institutional analytics workflows. The following are some of the skills that may be developed through different data governance projects:
• Develop and enhance web scraping solutions to collect data from external sources
• Clean, transform, and integrate data into relational databases
• Work with scripting and programming languages (e.g., Python, SQL) to automate data workflows
• Understand and apply data governance principles, including data definition standardization and metadata management
• Troubleshoot and maintain data pipelines and ingestion processes
There may be other tools or processes touched on throughout the internships. The following are some examples of the skills that may be developed and utilized within this internship:
• Project management,
• Advanced relevant programming skills (i.e. Python, SQL, etc.)
• Data visualization development
Responsibilities
  • The primary responsibility of this role will be to support and enhance processes that collect and integrate external data into institutional systems. This includes working with existing code to automate the extraction, transformation, and loading of data and definitions into a centralized database.
  • The position will help improve data consistency and alignment between internal and external reporting, supporting data governance efforts and laying the groundwork for future analysis, while providing hands-on technical experience in a real-world environment.

Minimum Qualifications
Must be a current University of Utah student
Preferences
  • Ability to work independently with light to moderate supervision in various areas of responsibility.
  • Excellent problem-solving including research, error detection and correction, root cause analysis, conceptual, analytical and decision-making skills
  • Preference will be given to students with related coursework and/or professional experience.

Special Instructions Summary
Additional Information
The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at the: University of Utah Non-Discrimination page.
Online reports may be submitted at https://oeo.utah.edu
https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.

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About University of Utah

Sourced by ZipRecruiter

The University of Utah is the state’s flagship institution of higher education, with 18 schools and colleges, more than 100 undergraduate majors and graduate programs, and an enrollment of more than 38,000 students. It is a member of the Association of American Universities—an invitation-only, prestigious group of 71 leading research institutions. The U is advancing a new national model for higher education that delivers societal impact through education, research, health care, and community service, while making social, economic, and cultural contributions that improve lives across Utah and around the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Salt Lake City, UT, US

Year founded

1850