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Part Time Data Engineer Jobs in Utah (NOW HIRING)

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location: American Fork, Utah (In Office) About Us: Brevium is a dynamic and innovative healthcare technology company located in ...

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound engineering principles and be able to communicate complex engineering issues and concepts to technical and ...

Senior Staff Engineer - Part time

Midvale, UT · On-site

$98K - $135K/yr

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound engineering principles and be able to communicate complex engineering issues and concepts to technical and ...

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 ...

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Part Time Data Engineer information

See Utah salary details

$40.5K

$118.1K

$161.6K

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

As of Aug 21, 2026, the average yearly pay for part time data engineer in Utah is $118,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $125,200.00 per year, depending on experience, location, and employer.

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 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.

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.

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 schedules are increasingly common in this field.

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 database management that can be performed online. Remote work arrangements depend on company policies, project requirements, and the need for collaboration or on-site access to certain tools or data.

What are the most commonly searched types of Data Engineer jobs in Utah?

The most popular types of Data Engineer jobs in Utah are:

What job categories do people searching Part Time Data Engineer jobs in Utah look for?

The top searched job categories for Part Time Data Engineer jobs in Utah are:

What cities in Utah are hiring for Part Time Data Engineer jobs?

Cities in Utah with the most Part Time Data Engineer job openings:

Infographic showing various Part Time Data Engineer job openings in Utah 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 $118,090 per year, or $56.8 per hour.

Part-time

Posted 9 days ago


Church of Jesus Christ of Latter-day Saints rating

8.6

Company rating: 8.6 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

3rd of 18 rated religious organizations


Job description

Location: Church Office Building in Salt Lake City 

Department: Materials Management 

Internship Type: Part-time, Paid 

Duration: 12 months 

Report To: Purchasing Systems Supervisor 

Job Description 

Support the purchasing systems team by assisting in the development of Power BI reports and dashboards, Power Apps and their associated reports, performing data validation, and contributing to meaningful insights that influence decision-making. This internship offers hands-on experience with real-world data and reporting tools in a mission-driven organization. 

Church employees find joy and satisfaction in using their unique talents and abilities to further the Lord's work. From the IT professional who develops an app that sends the gospel message worldwide, to the facilities manager who maintains our buildings- giving Church members places to worship, teach, learn, and receive sacred ordinances-our employees seek innovative ways to share the gospel of Jesus Christ with the world. They are literally working in His kingdom.
Only members of the Church who are worthy of a temple recommend qualify for employment. Apart from this, the Church is an equal opportunity employer and does not discriminate in its employment decisions on any basis that would violate U.S. or local law.
Qualified applicants will be considered for employment without regard to race, national origin, color, gender, pregnancy, marital status, age, disability, genetic information, veteran status, or other legally protected categories that apply to the Church. The Church will make reasonable accommodations for qualified individuals with known disabilities.

Education / Work Experience 

Recent graduate or currently pursuing a BS/BA degree in business analytics, data science, information systems or related field. Familiar with supply chain management. 

Demonstrated Skills and Abilities 

  • Power BI and Power Query 

  • Microsoft Excel, including formulas and basic VBA 

  • Power Apps and Power Automate (optional) 

  • Understand and communicate data story 

  • Work with minimal oversight while balancing multiple tasks and deadlines 

  • Provide innovative solutions to meet customer needs 

  • Interest in learning how data supports strategic decisions in a faith-based organization 

The Purchasing Data Analytics Intern will work with data from multiple systems to support the integration of structured and unstructured data for reporting and dashboard development. The following are examples of responsibilities: 

  • Assist in building and maintaining Power BI reports and dashboards based on business requirements. 

  • Support data collection, cleaning, and integration from multiple structured and unstructured sources

  • Collaborate with internal stakeholders to understand reporting needs and define output requirements. 

  • Conduct ad hoc analysis to uncover trends, patterns, and actionable insights. 

  • Participate in data quality assessments with data engineers to ensure accuracy, completeness, and reliability. 

  • Document data definitions, sources, and reporting processes for internal use. 

  • Assist in building and maintaining Apps built through Power Apps based on business requirements. 


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