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Data Plus Jobs in Utah (NOW HIRING)

Packsize International LLC

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

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 ...

Adobe

Data Science Engineer

Lehi, UT · On-site

$107K - $129K/yr

We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ... R is a plus. * Experience indata cloudplatform(eg.Databricks,AWS, Snowflake) * Understanding of ...

Packsize

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

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 ...

LVT

Data Analyst II

American Fork, UT · On-site

... plus but not required. * Attention to Detail: Catches errors and inconsistencies in data before they become someone else's problem.

Jade Global

Data/Ai Engineer Intern

Ogden, UT · On-site

Data/Ai Engineer Intern1 Data/AI Engineer in the Data & Ai Team Launch Your Career with Jade Global ... While prior experience in technology is a plus , it's not required - what matters most is your ...

Conservice

Data Entry Seniors

Logan, UT · On-site

$14.75 - $19.50/hr

Data Entry - Senior Department: Capturis Overview The Data Entry Process & Performance Auditor will ... Experience leading or assisting in training or mentoring is a plus. * Self-starter with the ability ...

Conservice

Data Entry Seniors

Logan, UT · On-site

$14.75 - $19.50/hr

Data Entry - Senior Department: Capturis Overview The Data Entry Process & Performance Auditor will ... Experience leading or assisting in training or mentoring is a plus. * Self-starter with the ability ...

Jade Global

Data/Ai Engineer Intern

Ogden, UT

Data/Ai Engineer Intern1 Data/AI Engineer in the Data & Ai Team Launch Your Career with Jade Global ... While prior experience in technology is a plus , it's not required - what matters most is your ...

Waystar

VP, Data Sciences

Lehi, UT · On-site

The Data Management & Analytics area is responsible for multiple aspects of data management and ... Experience in the healthcare technology or financial technology industry is a significant plus.

Patientco

VP, Data Sciences

Lehi, UT

The Data Management & Analytics area is responsible for multiple aspects of data management and ... Experience in the healthcare technology or financial technology industry is a significant plus.

Crew Career Center

VP, Data Sciences

Lehi, UT

The Data Management & Analytics area is responsible for multiple aspects of data management and ... Experience in the healthcare technology or financial technology industry is a significant plus.

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Data Plus information

What is a Data Plus?

A Data Plus job typically involves working with data analytics, processing, and management to support business decision-making. Professionals in this role may clean, analyze, and visualize data to extract insights. Depending on the organization, a Data Plus job could include database management, report generation, and the use of data tools like SQL, Python, or Excel. The role often requires problem-solving skills and attention to detail.

What are the key skills and qualifications needed to thrive in a Data Plus?

To excel as a Data Plus professional, you should have strong analytical skills, knowledge of data management principles, and a relevant degree in computer science, statistics, or a related field. Proficiency with data analytics tools (such as SQL, Python, R) and familiarity with data visualization platforms like Tableau or Power BI are often required. Effective communication, critical thinking, and attention to detail are essential soft skills for this role. These competencies enable accurate data analysis, clear insights for decision makers, and seamless collaboration with cross-functional teams.

What are the typical daily responsibilities for a Data Plus?

In a Data Plus position, your typical day may involve collecting and cleaning large datasets, conducting statistical analyses, and generating actionable insights to support business objectives. You'll likely collaborate closely with other data professionals, product managers, and stakeholders to define data requirements and deliver reports or dashboards. Additional tasks may include automating processes, ensuring data integrity, and contributing to project meetings. This dynamic role provides you with the opportunity to influence key decisions through data-driven recommendations.

What are popular job titles related to Data Plus jobs in Utah? For Data Plus jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Data Plus jobs in Utah look for? The top searched job categories for Data Plus jobs in Utah are:
Data Plus jobs near you
Infographic showing various Data Plus job openings in Utah as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

Packsize International LLC

Salt Lake City, UT • On-site

$110K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 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.

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