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Data Jobs in Clearfield, UT (NOW HIRING)

Data Engineer

Salt Lake City, UT ยท On-site

$125 - $150/hr

## Data EngineerApplylocations: Packsize Salt Lake Citytime type: Full timeposted on: Posted 2 Days Agojob requisition id: R-100735** ** About Packsize,Packsize is redefining the way businesses and ...

Data Engineer

Salt Lake City, UT

$110K - $133K/yr

As an experienced Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with ...

Data Engineer

Salt Lake City, UT ยท On-site

$100 - $125/hr

Today, our data lives across transactional databases, SaaS tools, and external APIs. Over the next few months, you'll help us stand up our first analytics data warehouse and build the ETL/ELT ...

Business Data Steward

Salt Lake City, UT ยท On-site

$52K - $102K/yr

The Business Data Stewards manage, define, and protect the quality of data, acting as a bridge between business operations and technical data teams, translating business needs into data requirements.

Data Strategy-Manager

Salt Lake City, UT ยท On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Data Governance- Manager

Salt Lake City, UT ยท On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Data Engineer/Analyst

Layton, UT ยท On-site

$100 - $125/hr

Collaborate with the data team to automate the Extract, Transform, Load (ETL) process using Azure Functions and Python * Utilize Python scripting and core data libraries (e.g. Pandas, SQLAlchemy ...

Summary The Sr Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this ...

Summary The Sr Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this ...

Associate, Data Architect

Salt Lake City, UT ยท On-site

$74K - $138K/yr

Associate, Data Architect Job Code: 43046 Job Location: Multiple (Rochester, NY, Melbourne, FL, Salt Lake City, UT, Londonderry, NH, Nashville, TN, Carlsbad, CA) Job Schedule: 9/80:Employees work 9 ...

Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform-where modern legal work happens with clarity and consistency. Powered ...

Showing results 21-40

Data information

See Clearfield, UT salary details

$42.9K

$153.8K

$227K

How much do data jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data in Clearfield, UT is $153,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,500.00 per year, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.

What job categories do people searching Data jobs in Clearfield, UT look for?

The top searched job categories for Data jobs in Clearfield, UT are:

What cities near Clearfield, UT are hiring for Data jobs?

Cities near Clearfield, UT with the most Data job openings:

Infographic showing various Data job openings in Clearfield, UT as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $154,913 per year, or $74.5 per hour.

Data Engineer

Packsize International

Salt Lake City, UT โ€ข On-site

$125 - $150/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago


Job description

## Data EngineerApplylocations: Packsize Salt Lake Citytime type: Full timeposted on: Posted 2 Days Agojob requisition id: R-100735**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 boxโ€”itโ€™s delivering whatโ€™s right for our customers, their customers, our people, and the planet. Job Title: Data EngineerAbout 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 Youโ€™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 Youโ€™ll Bring:* Bachelorโ€™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 OfferPacksize 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 donโ€™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, veteranโ€™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 disabilitiesPacksize 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, weโ€™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, veteranโ€™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.** #J-18808-Ljbffr