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Weekend Data Engineering Jobs in Orem, UT (NOW HIRING)

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong Python for data engineering (modular, testable pipeline code) * Hands-on dbt experience: models, tests, macros, and incremental materializations * Production Snowflake experience: schema ...

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong Python for data engineering (modular, testable pipeline code) * Hands-on dbt experience: models, tests, macros, and incremental materializations * Production Snowflake experience: schema ...

Data Engineer

Provo, UT

$108K - $130K/yr

QUALIFICATIONS REQUIRED QUALIFICATIONS • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field (or equivalent professional experience) • 3-5 years of ...

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

QUALIFICATIONS REQUIRED QUALIFICATIONS • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field (or equivalent professional experience) • 3-5 years of ...

Data Engineer

Provo, UT

$109K - $131K/yr

  • Medical

  • PTO

Share product feedback with Engineering and Product teams, including data handling limitations, schema gaps, and integration pain points. WHO YOU ARE * Recent graduate (or soon to be) in Computer ...

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

  • Medical

  • PTO

Share product feedback with Engineering and Product teams, including data handling limitations, schema gaps, and integration pain points. WHO YOU ARE * Recent graduate (or soon to be) in Computer ...

Data Engineer

Provo, UT · On-site

$50K - $90K/yr

  • Medical

  • PTO

Share product feedback with Engineering and Product teams, including data handling limitations, schema gaps, and integration pain points. WHO YOU ARE * Recent graduate (or soon to be) in Computer ...

Data Engineer IV - AI & Data Products

Draper, UT · On-site

$107K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

AI-Driven Data Engineering Mindset - Hands-on experience using AI-assisted development tools (e.g., Copilot, generative AI) to accelerate pipeline design, code generation, and troubleshooting.

Data Engineer

Draper, UT

$107K - $128K/yr

What We're Looking For (Required) * 5-10 years of experience in data engineering with a proven ability to build and maintain scalable data pipelines and ETL/ELT processes. * Hands‑on experience ...

Data Engineer

Draper, UT · On-site

$107K - $128K/yr

What We're Looking For (Required) * 5-10 years of experience in data engineering with a proven ability to build and maintain scalable data pipelines and ETL/ELT processes. * Hands-on experience with ...

Data Engineer

Orem, UT · On-site

$99K - $119K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Orem, UT · On-site

$100/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Document data architecture, pipelines, and operational runbooks to support team knowledge and continuity Who You Are * 3+ years of experience in a Data Engineering or similar role * Strong hands-on ...

Sr. Data Engineer

Draper, UT · Hybrid

$107K - $128K/yr

We'll rely on your expertise across data, AI, and knowledge engineering to develop reliable systems that make organizational knowledge accessible at scale. Your ability to leverage AI to build ...

Software Engineer, Data

Lehi, UT

$107K - $129K/yr

You will pioneer a foundation of engineering excellence, enabling the entire organization to make reliable, data-driven decisions at scale across all 50 states. You'll join our data & analytics team ...

Software Engineer, Data

Lehi, UT · On-site

$107K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will pioneer a foundation of engineering excellence, enabling the entire organization to make reliable, data-driven decisions at scale across all 50 states. You'll join our data & analytics team ...

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position is ideal for individuals with some hands-on experience in data engineering who are eager to grow and develop their technical expertise. This is a full-time role and will work a hybrid ...

Software Engineer, Data

Lehi, UT

$107K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will pioneer a foundation of engineering excellence, enabling the entire organization to make reliable, data-driven decisions at scale across all 50 states. You'll join our data & analytics team ...

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position is ideal for individuals with some hands-on experience in data engineering who are eager to grow and develop their technical expertise. This is a full-time role and will work a hybrid ...

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Showing results 1-20

Weekend Data Engineering information

See Orem, UT salary details

$38.7K

$112.8K

$154.3K

How much do weekend data engineering jobs pay per year?

As of Aug 14, 2026, the average yearly pay for weekend data engineering in Orem, UT is $112,772.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $119,500.00 per year, depending on experience, location, and employer.

Are weekend data engineers still in demand?

Weekend data engineers are still in demand as organizations seek flexible staffing for data pipeline maintenance, troubleshooting, and project work outside regular hours. Skills in cloud platforms, SQL, and data tools like Apache Spark or Kafka enhance employability in this schedule. Demand depends on industry needs and company size, but data engineering remains a critical role across sectors.

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

Do weekend data engineers need to work on weekends?

Weekend data engineers typically work during regular business hours and do not usually need to work on weekends unless there are urgent data issues or scheduled maintenance. Some roles may require occasional weekend work for system updates or troubleshooting, but it is not a standard expectation for all positions. Flexibility depends on the company's policies and project deadlines.

What are the most commonly searched types of Data Engineering jobs in Orem, UT?

The most popular types of Data Engineering jobs in Orem, UT are:

Data Engineer

Crumbl

Provo, UT • On-site

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Crumbl HQ is seeking a skilled and motivated data engineer to join our growing team. The successful candidate will be responsible for building and maintaining data pipelines using dbt and Prefect to support data-driven decision-making across the organization.
Responsibilities
  • Design, build, and maintain scalable and reliable data pipelines through ELT/ETL extraction methods.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality
  • Develop and maintain documentation, including data dictionaries, workflow diagrams, and data flow diagrams
  • Ensure the integrity and security of data by implementing appropriate controls and monitoring
  • Optimize and tune data pipelines to ensure efficient processing and query performance
  • Implement and maintain data security policies and procedures, including access controls, encryption, and data masking
  • Design and implement data processing workflows using dbt and Prefect to support data science and machine learning applications
  • Develop and maintain data ingestion processes to bring data from external sources into the organization's data environment
  • Identify and address performance issues with data pipelines, and work with infrastructure and operations teams to optimize system performance
  • Conduct testing and validation of data pipelines to ensure they are functioning correctly and meeting business requirements
  • Participate in code reviews and contribute to the development of best practices for data engineering
  • Stay current with emerging technologies and trends in data engineering and data science, and identify opportunities to leverage them within the organization

Qualifications
  • Bachelor's or Master's degree in Data Science, Information Systems, or a related field
  • 3+ years building and maintaining production data pipelines (degree in a related field or equivalent experience)
  • Advanced SQL: window functions, CTEs, and query/performance tuning on large datasets
  • Strong Python for data engineering (modular, testable pipeline code)
  • Hands-on dbt experience: models, tests, macros, and incremental materializations
  • Production Snowflake experience: schema design, performance tuning, and warehouse/cost optimization
  • AWS data services (e.g., S3, Glue, Lambda)
  • Data quality and observability with dbt + Elementary
  • Infrastructure-as-code with Terraform and version control with Git
  • Dimensional data modeling (star/snowflake schemas, SCDs) and lakehouse concepts
  • Strong problem-solving skills and clear communication with analysts, scientists, and stakeholders

Benefits & Perks
- Medical, dental, and vision benefits
- 15 days PTO/year
- 10 paid holidays
- Paid parental leave
- Personal phone bill reimbursement
- Gym reimbursement
- Corporate DoorDash® DashPass membership
- Regular company and team activities
- 401k with competitive matching contribution plan
- Excellent opportunities for career growth
- Work in a hyper-growth company
Crumbl was founded in 2017 by Jason McGowan & Sawyer Hemsley in Logan, Utah. It is now the fastest-growing cookie company in the nation with over 1000 locations in the USA and Canada. Crumbl is powered by cutting-edge technology, iconic branding, delicious desserts, and passionate people.
Crumbl HQ and franchisees provide employment for over 26,000 people across the United States, and all of our franchises are owned and operated by independent members of the local community.
Crumbl's 200+ unique cookie flavors rotate weekly and are served in our famous pink box!
Crumbl is an equal opportunity employer. Crumbl provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.
Recruitment Agencies: Crumbl HQ doesn't typically partner with 3rd party recruitment resources. If we require assistance on this search we will contact selected partners directly; we do not accept unsolicited candidate submissions.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.