ZipRecruiter

Log In

1

Data Processing Jobs in Utah (NOW HIRING)

Crumbl

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

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 ...

Crumbl

Data Engineer

Provo, UT

$108K - $130K/yr

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 ...

Addepar

Data Client Support Analyst

Salt Lake City, UT · On-site

$86K - $107K/yr

Investigate client reported bugs and data processing issues, and triage with Engineering & Product ... when needed * Partner with Account Managers, Solutions Architects, and other members of GTM to ...

Pattern

Staff Data Platform Engineer

Lehi, UT · On-site

... data processing and OLAP technologies such as Spark, Trino, and ClickHouse; Snowflake or Databricks experience is a plus. • Ability to write clean, maintainable code in Python, GoLang, Java, Ruby ...

AutoSavvy

Data Engineer

Woods Cross, UT

$108K - $129K/yr

Data Engineer (Mid-Level) Utah (Local Required) Overview AutoSavvy is a fast-growing automotive ... Reduce manual processes through automation Collaboration & Execution * Execute against defined ...

AutoSavvy

Data Engineer

Woods Cross, UT · On-site

$108K - $129K/yr

Data Engineer (Mid-Level) Utah (Local Required) Overview AutoSavvy is a fast-growing automotive ... Reduce manual processes through automation Collaboration & Execution * Execute against defined ...

Neighbor

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

If you would like more information about how your data is processed, please contact us.

Neighbor

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

If you would like more information about how your data is processed, please contact us.

Neighbor

Data Engineer

Lehi, UT

$107K - $129K/yr

Strong command of at least one major programming language used for data processing * Hands-on experience designing and maintaining data lakes or cloud-based data warehouses * Deep understanding of ...

BambooHR

Sr. Data Engineer

Draper, UT · On-site

$107K - $128K/yr

Ability to gather requirements and translate business processes into data, ML, and AI solutions * Comfortable working cross-functionally with both technical and non-technical stakeholders * Ability ...

Brady

Customer Data Specialist

Salt Lake City, UT · On-site

$16.50 - $22/hr

Accurately set up new customer accounts in SAP and seamlessly process web registrations by linking online users to their correct corporate accounts. * Data Hygiene & Merging: Scout out duplicate ...

Pwc

Data Engineer - Senior Manager

Salt Lake City, UT

$124K - $280K/yr

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 ...

Wipro Limited

GCP Data Engineer

Santa Clara, UT · On-site

$45K - $121K/yr

A solid command of advanced SQL for complex querying, data processing, and performance tuning. -Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g ...

New

Pwc

Data Engineer - Senior Associate

Salt Lake City, UT

$77K - $202K/yr

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 ...

next page

Showing results 1-20

All JobsData Processing JobsData Processing Jobs in Utah

Data Processing information

See Utah salary details

$11

$18

$31

How much do data processing jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for data processing in Utah is $18.45, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $20.34 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Processing position, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the typical daily responsibilities of someone working in Data Processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What is a Data Processing job?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

Is AI replacing data entry jobs?

AI is automating many data entry tasks by using machine learning and optical character recognition, which can increase efficiency and reduce manual labor. However, data processing jobs still require human oversight for complex or unstructured data, and roles involving data validation, analysis, and management remain essential. Professionals in data processing should develop skills in AI tools and data management to stay relevant.

What is the highest paying job in data?

In data-related fields, roles such as Data Science Director, Chief Data Officer, or Senior Data Architect tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with extensive experience and relevant certifications.
What are the most commonly searched types of Data Processing jobs in Utah? The most popular types of Data Processing jobs in Utah are:
What are popular job titles related to Data Processing jobs in Utah? For Data Processing jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Data Processing jobs in Utah look for? The top searched job categories for Data Processing jobs in Utah are:
What cities in Utah are hiring for Data Processing jobs? Cities in Utah with the most Data Processing job openings:
Data Processing jobs near you
Infographic showing various Data Processing job openings in Utah as of July 2026, with employment types broken down into 85% Full Time, 5% Part Time, 5% Temporary, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $38,375 per year, or $18.4 per hour.
Data Engineer

Data Engineer

Crumbl

Provo, UT • On-site

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

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.
apply for this job

Apply