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Part Time Data Engineer Jobs in Lehi, UT (NOW HIRING)

Brevium

Data Analyst Assistant

American Fork, UT · On-site

$20 - $22/hr

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 ...

TERRACON

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 ...

TERRACON

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 ...

National Guard OMD

12Y Geospatial Engineer

Bluffdale, UT · On-site

$200 - $250/wk

In this role, you will extract and supply geographic data that supports military operations of all ... Retirement benefits for part-time service * Low-cost life insurance (up to $400,000 in coverage ...

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All JobsData Engineer JobsPart Time Data Engineer JobsPart Time Data Engineer Jobs in Lehi, UT

Part Time Data Engineer information

See Lehi, UT salary details

$41.8K

$121.8K

$166.6K

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

As of Aug 3, 2026, the average yearly pay for part time data engineer in Lehi, UT is $121,766.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $129,100.00 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 are the most commonly searched types of Data Engineer jobs in Lehi, UT? The most popular types of Data Engineer jobs in Lehi, UT are:
What are popular job titles related to Part Time Data Engineer jobs in Lehi, UT? For Part Time Data Engineer jobs in Lehi, UT, the most frequently searched job titles are:
What job categories do people searching Part Time Data Engineer jobs in Lehi, UT look for? The top searched job categories for Part Time Data Engineer jobs in Lehi, UT are:
What cities near Lehi, UT are hiring for Part Time Data Engineer jobs? Cities near Lehi, UT with the most Part Time Data Engineer job openings:
Part Time Data Engineer jobs near you
Infographic showing various Part Time Data Engineer job openings in Lehi, UT as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, 1% Temporary, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,766 per year, or $58.5 per hour.

Data Engineer 3 - Part-time

The Church of Jesus Christ of Latter-day Saints

Bluffdale, UT • On-site

$110K - $132K/yr

Part-time

Posted 3 days ago

New

Church of Jesus Christ of Latter-day Saints rating

8.6

Company rating: 8.6 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

3rd of 18 rated religious organizations

Job description

As a member of the Business Intelligence team, the Data Engineer 3 engages with multiple departments throughout the organization to take their data and transform it into information that will enable them to make better decisions. As an experienced professional, the Data Engineer 3 gathers business requirements and designs, creates, and supports the data warehouse.

This individual works with divine guidance to provide or support technology that furthers the mission of the Church and reflects the eternal impact of the gospel.

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.

Required:

Education:

  • Bachelor's degree in related field or equivalent professional experience

Work Experience:

  • 4 years of data warehouse experience
  • 2 years of professional experience in data analysis and report design/development
  • 1 year of experience in presentation/interface creation

Demonstrated Skills & Abilities:

  • Great verbal and written communication skills
  • Proven troubleshooting skills
  • Ability to train peers and system users
  • Capable of working under pressure to resolve complex problems
  • General knowledge of engineering best practices
  • Operational understanding and discipline
  • Ability to resolve security issues and requests and implement improvements
  • Proficient in dimensional data modeling
  • Ability to quickly learn new tools and technology
  • Strong problem solving, analytical, and diagnostic skills
  • Good documentation, presentation, and communication skills
  • Refined skills in developing ETL code
  • Can ingest and clean large sets of structured and unstructured data
  • Familiar with DevOps/DataOps process
  • Experienced with SQL
  • Familiar with technologies such as Python, Spark or PowerShell
  • Familiar with cloud services from providers such as AWS, Azure, or Google
  • Working knowledge of the algorithms used for regressions, clustering, classification, forecasting, and constructing graphs
  • Familiar with Bayesian inference
  • This job operates in a professional office environment
  • To successfully perform the essential functions of the job there may be physical requirements which need to be met such as sitting for long periods of time and using computer monitors/equipment

Preferred:

  • Master's degree
  • Possess and utilize broad knowledge, specific to the data field, to complete significant assignments
  • Maintain a keen understanding of the supported business processes
  • Gather and document requirements for the data warehouse
  • Aid in the design of Star Schema data models
  • Maintain and support ETL jobs, pulling data from various source systems and loading data into the data warehouse
  • Assist in designing semantic layer to support end-user self-service
  • Build complex reports using SQL Server Reporting Services (SSRS)
  • Create complex dashboards using Microsoft Power BI or Tableau
  • Analyze data and trends, and create reports that highlight areas in need of performance improvement
  • Interact with customers as a technical resource to troubleshoot problems with the delivered BI solutions
  • Maintain production documentation

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