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Data Processing Jobs in Sandy, UT (NOW HIRING)

Swire Coca-Cola, USA

Data Scientist

Draper, UT · On-site

Employ PySpark for distributed data processing on the Cloud. Use Agile methodology for continuous improvement and development. #LI-DNI Position requires a Master's degree in Business Analytics or an ...

University of Utah

Data Engineers

Salt Lake City, UT · On-site +1

$110K - $133K/yr

Establish governance standards, naming conventions, version control processes, and documentation to ... This includes data pipeline development, orchestration, transformation logic, and supporting data ...

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

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 ...

MasterCard

Senior Data Scientist

Holladay, UT · On-site

Multi-project, hands-on experience of the end-to-end data science process in relation to large, complex data. From problem framing to results communication and solution deployment, you will be able ...

BambooHR

Sr. Data Engineer

Draper, UT

$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 ...

Epicor

Senior Data Scientist

Lehi, UT · Hybrid

Work with large, complex datasets to design robust feature engineering, data processing, and model evaluation approaches. * Collaborate crossfunctionally with engineering, analytics, finance, and ...

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 ...

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 ...

Pura

Staff Data Scientist

Pleasant Grove, UT · On-site

Familiarity with streaming data processing technologies (e.g., Apache Kafka) * Experience applying data science to molecular or chemical data Pura's Story We're passionate about creating spaces that ...

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All JobsData Processing JobsData Processing Jobs in Sandy, UT

Data Processing information

See Sandy, UT salary details

$11

$19

$33

How much do data processing jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for data processing in Sandy, UT is $19.26, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $21.25 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.

Is a data processor a good job?

A data processing job involves organizing, inputting, and managing data using tools like spreadsheets and database software. It can offer steady employment and requires attention to detail, but may have repetitive tasks and limited advancement opportunities depending on the organization. Overall, it can be a suitable entry-level role for those interested in data management.

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.

How can I make 2000 a week working from home?

Data processing jobs can pay varying rates depending on experience, complexity, and workload, with some freelancers earning $2000 or more weekly by taking on multiple projects or clients. To reach this income level, strong skills in data entry, analysis, or software tools are essential, along with efficient time management and possibly certification. Building a reliable client base and working consistently are key factors in achieving higher weekly earnings from home.

How much does data processing make?

Data processing jobs typically pay between $35,000 and $70,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with skills in data management and software tools can earn higher salaries.
What are popular job titles related to Data Processing jobs in Sandy, UT? For Data Processing jobs in Sandy, UT, the most frequently searched job titles are:
What job categories do people searching Data Processing jobs in Sandy, UT look for? The top searched job categories for Data Processing jobs in Sandy, UT are:
What cities near Sandy, UT are hiring for Data Processing jobs? Cities near Sandy, UT with the most Data Processing job openings:
Data Processing jobs near you

Data Scientist - Senior

Nalley Consulting

Salt Lake City, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 hours ago

Job description

Position: Data Scientist 
LCAT: Senior
Location: Utah ANG, Salt Lake City, Utah / On-site
Office: U.S. Air Force Air Combat Command
Required clearance: TS/SCI, ability to pass a polygraph
Required education:  Master’s degree or bachelor’s degree with at least five (5) years of related senior-level experience in data science. Ten (10) years or relevant data science experience in lieu of degree; at least part of the required experience must be within the past two (2) years.
Description:
This position is contingent upon award of contract. We are seeking a highly skilled and experienced Data Scientist to join our team supporting the Air Force’s Air Combat Command (ACC) Intelligence, Surveillance, and Reconnaissance (ISR) Enterprise program. 
As our data scientist, you’ll lead advanced analytic efforts and drive data-informed decision-making across the organization. This role involves conducting end-to-end data science activities—including data engineering, exploratory analysis, predictive modeling, and statistical analysis—while transforming complex datasets into actionable insights through compelling visual and narrative storytelling.
The ideal candidate will proactively identify and retrieve relevant data from diverse sources, build scalable machine learning (ML) solutions, and develop AI-driven tools to automate analytical processes and improve operational efficiency.
Responsibilities
  • Perform advanced data analytics, data mining, and statistical analysis to uncover actionable insights.
  • Design and develop machine learning models, including recommendation engines and automated scoring systems.
  • Build, validate, and deploy high-quality predictive models and analytical solutions.
  • Conduct exploratory data analysis to identify trends, anomalies, and opportunities.
  • Integrate and manage large, disparate datasets from multiple structured and unstructured sources.
  • Develop and automate workflows for data processing, model training, and reporting.
  • Translate analytical findings into clear, compelling visual, written, and verbal narratives.
  • Collaborate with cross-functional teams to support strategic and operational decision-making.
  • Develop AI-based tools to streamline and automate business processes.
  • Ensure data quality, integrity, and governance across analytical workflows.
Required Experience: 
  • Experience working with large-scale and complex datasets, including Multi-INT or similar data environments
  • Proficiency in major data science programming languages including Python and R
  • Expertise in data visualization tools and applications, including Power BI and Tableau
  • Experience managing and merging disparate data sources, preferably through R, Python, or SQL
  • Strong knowledge and experience using ICD 203/206 tradecraft standards
Desired Experience:
  • Background in advanced analytics within intelligence, defense, or similar data-intensive domains.
  • Experience in developing and deploying automated AI/ML solutions.
  • Familiarity with cloud-based data platforms (e.g., Azure, AWS, or GCP).
  • Experience with big data frameworks (e.g., Spark, Hadoop).

ABOUT NALLEY CONSULTING

Nalley Consulting is a Service Disabled Veteran Owned Small Business working with prime partners to staff Department of Defense and Intelligence Community positions. Created by a U.S. Navy intelligence veteran, Nalley Consulting has grown to include multiple IDIQ vehicles in several states.

Nalley Consulting fringe benefits include:

  • Excellent medical, dental, and vision benefits
  • PTO
  • 11 paid federal holidays
  • Tuition assistance
  • Paid military-reserve leave
  • Paid parental leave for birth or adoption
  • 401k matching up to 5 percent of the base salary
  • Flex time
  • Company-paid short-term disability, long-term disability, and life insurance.

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