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Part Time Data Engineering Jobs in Utah (NOW HIRING)

As a Software Engineering Intern at Neighbor you will be building technology to power new sharing ... Perform user experiments and data analysis to continually improve the user experience. Requirements

Yes Standard Hours per Week up to 40 Full Time or Part Time? Part Time Shift Variable Work Schedule ... Master's degree in data science, data analytics, business analytics, computer science, engineering ...

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Part Time Data Engineering information

What is a part time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

How does a part time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

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

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data pipeline development, maintenance, and analytics projects. Skills in SQL, Python, cloud platforms, and data 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 engineering roles can often be performed remotely, especially when the work involves tasks like data pipeline development, database management, and cloud-based tools. Employers may require familiarity with tools such as SQL, Python, and cloud platforms, and remote work arrangements depend on the company's policies and project needs.

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

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

What are popular job titles related to Part Time Data Engineering jobs in Utah?

For Part Time Data Engineering jobs in Utah, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Part Time Data Engineering job openings in Utah as of August 2026, with employment types broken down into 100% Part Time. Highlights an 80% In-person, and 20% Remote job distribution.

Customer Operations Intern - Part-time Fall 2026

Salt Lake City, UT • On-site

Lucid Software
1 - 5K employees

$14.75 - $19.25/hr

Part-time, Internship

Re-posted 4 days ago


Job description

Lucid Software is the leader in visual collaboration and work acceleration, helping teams see and build the future by turning ideas into reality. Our products include the Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus. We hold true to our core values: innovation in everything we do, passion & excellence in every area, individual empowerment, initiative and ownership, and teamwork over ego. At Lucid, we value diverse perspectives and are dedicated to creating an environment and culture that is respectful and inclusive for everyone. Lucid is a hybrid workplace. We promote a healthy work-life balance by allowing employees to work remotely, from one of our offices, or a combination of the two depending on the needs of the role and team.
Since the company's founding, Lucid Software has received numerous global and regional recognitions for its products, business, and workplace culture. These include being listed to the Forbes Cloud 100, Fast Company Most Innovative Companies, Fortune Best Workplaces in Technology, and PEOPLE's Companies that Care. Lucid's solutions are used by more than 100 million users across the globe, making Lucid the most used visual collaboration platform by the Fortune 500. Our customers include Google, GE, and NBC Universal, and we partner with leaders such as Google, Atlassian, and Microsoft.
Lucid Software's Customer Operations team helps the countless users who rely on Lucid understand how to use our product, and we use the incoming user data to improve the health of these products. We're an operational team that uses both direct support interactions as well as scalable solutions to engage with our global consumers.
Responsibilities:
  • Manage technical issues by investigating and troubleshooting problems, escalating user issues, managing issue workflows and proactively identifying consumer needs
  • Develop and maintain technical product expertise and work closely with other support and product/engineering team members to resolve user issues
  • Identify and monitor key user operational metrics to help drive improvements to our product and support offerings
  • Collaborate with Engineering, Product Management, Marketing, and other cross-functional peers on specific user-impacting issues and bugs.
  • Assist in writing clear Help Center and user education content
  • Engage with our users in the Lucid Community
  • Investigate and process customer requests for cancellation and refunds over email
  • Resolve customer concerns related to billing such as downgrades, duplicate charges, invoice changes, trial subscriptions, and declined payments
  • Research accounts in which payments have been posted and customer disputes activity
  • Develop a deep understanding of changing product offerings and account types and implement these changes into our billing processes
  • Communicate and follow up effectively with customers in a clear and timely manner

Requirements:
  • Currently pursuing a Bachelor's degree with a strong academic performance.
  • A strong sense of personal ownership and responsibility
  • Ability to translate complex technical ideas into simple, easy to understand content
  • Strong written and verbal communication skills (both internally and externally)
  • Ability to work independently, cross-functionally, and on multiple initiatives at the same time with a proven record of driving results
  • Excellent analytical capabilities and problem-solving skills combined with sound business judgment in a fast-paced environment with evolving priorities
  • Detail-oriented, organized and a good team player
  • Bias towards finding solutions versus shutting down ideas
  • This position is hybrid, combining remote work with in-person collaboration at our South Jordan, UT office two days per week (Tuesday and Thursday)
Preferred Qualifications
  • Experience troubleshooting technical issues
  • Experience in content creation
  • Basic data analytics or statistical skills
  • Teaching or mentoring experience

This internship is part-time in the fall.