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Weekend Data Engineering Jobs in Utah (NOW HIRING)

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Ensure best-in-class implementation of data engineering solutions, focusing on performance, scalability, and maintainability. * Contribute to the development and maintenance of data warehouses, data ...

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

Ensure best-in-class implementation of data engineering solutions, focusing on performance, scalability, and maintainability. * Contribute to the development and maintenance of data warehouses, data ...

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Ensure best-in-class implementation of data engineering solutions, focusing on performance, scalability, and maintainability. * Contribute to the development and maintenance of data warehouses, data ...

Data Engineer

Salt Lake City, UT · On-site

$105K - $126K/yr

Bachelor's degree in computer science, data engineering, information systems, or equivalent ... Occasional off-hours or weekend work required for emergency facility responses or projects as ...

Data Engineer

Salt Lake City, UT

$105K - $126K/yr

Bachelor's degree in computer science, data engineering, information systems, or equivalent ... Occasional off-hours or weekend work required for emergency facility responses or projects as ...

Data Engineer

Salt Lake City, UT · On-site

$105K - $126K/yr

Bachelor's degree in computer science, data engineering, information systems, or equivalent ... Occasional off-hours or weekend work required for emergency facility responses or projects as ...

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

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 ...

Senior Data Engineer

Salt Lake City, UT

$102K - $139K/yr

Contribute to and enforce data engineering best practices, including version control, code review, CI/CD for data pipelines, and Infrastructure as Code with AWS CDK. * Collaborate with AI and ...

New

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

Salt Lake City, UT · On-site

$110K - $133K/yr

Required : • Bachelor's degree (or higher) in Computer Science, Information Technology, or related field • 3+ years of technical and relevant data engineering experience • Expert SQL skills ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Engineer

Salt Lake City, UT · On-site +1

$90K - $120K/yr

Bachelor's degree (or higher) in Computer Science, Information Technology, or related field, required * 3+ years of technical and relevant data engineering experience * Expert SQL skills, including ...

Data Engineer

Provo, UT

$109K - $131K/yr

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

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

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 ...

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Showing results 1-20

Weekend Data Engineering information

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.

Are weekend data engineers still in demand?

Weekend data engineers are still in demand as companies 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 remain valuable, and many organizations require support during weekends to ensure continuous data operations.

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 Utah?

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

What cities in Utah are hiring for Weekend Data Engineering jobs?

Cities in Utah with the most Weekend Data Engineering job openings:

$110K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Job description

Job Description:
Job Description:
About Packsize,
Packsize is redefining the way businesses and their customers use and experience packaging around the world. We build the technology, design the right solutions, and automate the processes that propel the industry forward. To us, packaging is much more than a box-it's delivering what's right for our customers, their customers, our people, and the planet.
Job Title: Data Engineer
About the Role:
We are seeking a Data Engineer to design, build, and optimize data pipelines and architectures that empower data-driven decision-making and business growth. In this hands-on technical role, you will collaborate with cross-functional teams to gather requirements, architect scalable data solutions, and implement best-in-class data engineering practices. You will play a key role in advancing our data analytics capabilities, ensuring data is reliable, accessible, and aligned with business objectives.
What You'll do:
  • Design, develop, and maintain scalable data pipelines and architectures to support modern data analytics and integration needs.
  • Build and optimize data models, including advanced dimensional modeling and semantic layer design, to enable efficient querying and reporting.
  • Implement robust ETL/ELT processes using intermediate Python and advanced SQL to ensure high-quality data delivery.
  • Collaborate with business units, analysts, and stakeholders to gather requirements and translate them into technical solutions that drive measurable business value.
  • Ensure best-in-class implementation of data engineering solutions, focusing on performance, scalability, and maintainability.
  • Contribute to the development and maintenance of data warehouses, data lakes, and integration pipelines.
  • Proactively identify and resolve data quality issues, ensuring data integrity and consistency across systems.
  • Work closely with data analysts and other engineers to support data-driven initiatives and deliver actionable insights.
  • Stay current with industry trends and emerging tools to continuously improve data engineering practices.
  • Document technical designs, processes, and solutions to support team collaboration and knowledge sharing.

What You'll Bring:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience in data engineering or related technical roles.
  • 7+ years of experience in data engineering and analytics or data integration.
  • Expertise in modern data analytics, including building and optimizing data pipelines for near-real-time and batch processing.
  • Proven skills in data architecture, with a focus on designing scalable and efficient data systems.
  • Advanced proficiency in SQL for complex querying, optimization, and data transformation.
  • Intermediate proficiency in Python for scripting, automation, and ETL development.
  • Advanced dimensional modeling skills, with experience designing star schemas and semantic layers for analytics.
  • Expertise in building metadata driven pipelines, integrations, and methods for improving maintainability and reducing technical debt.
  • Experience in semantic layer design to support business intelligence tools and self-service analytics.
  • Strong collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
  • Ability to gather requirements and translate them into technical solutions that align with business goals.
  • Self-driven and motivated, with a track record of delivering high-impact results and moving the needle for business value.
  • Experience with modern data platforms (e.g., DOMO, Databricks, Snowflake, Fabric) and tools.
  • Knowledge of data governance, data quality, and data integration best practices is a plus.
  • Professional certifications (e.g., Azure Data Engineer, AWS Certified Data Engineer, Google Cloud Professional Data Engineer) are a plus.

Working Environment and Physical Demands:
  • Hybrid or onsite work environment preferred, with remote consideration based on candidate qualifications and company policy.
  • Occasional travel may be required for meetings and conferences.

What We Offer
Packsize considers several factors when determining compensation when extending a job offer, including but not limited to, the role being offered, the associated responsibilities, the candidate's prior work experience, education/training, and any special skills.
If this role excites you but you don't meet each requirement listed, we encourage you to apply anyway. At Packsize, we welcome applicants of all backgrounds and experiences and understand that the best candidates may come from the most unlikely of places.
Packsize is an Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, Packsize policy of equal employment opportunity prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran's status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities and protected veterans are strongly encouraged to apply. Reasonable accommodations in the application process will be provided to qualified individuals with disabilities
Packsize considers several factors when determining compensation when extending a job offer, including but not limited to, the role being offered, the associated responsibilities, the candidate's prior work experience, education/training, and any special skills. At Packsize, we're committed to supporting the health, well-being, and financial security of our team members. We offer a comprehensive benefits package that includes medical, dental, and vision coverage; a 401(k) retirement plan; Paid Time Off; Health Savings and Flexible Spending Accounts (HSA/FSA); and life and disability insurance. Additional voluntary benefits include critical illness, hospital indemnity, accident, and legal/ID theft protection. We also provide access to an Employee Assistance Program (EAP) to support your overall well-being.
Packsize is an Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, Packsize policy of equal employment opportunity prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran's status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities, and protected veterans are strongly encouraged to apply. Reasonable accommodations in the application process will be provided to qualified individuals with disabilities.