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Data Technology Jobs in Utah (NOW HIRING)

Crew Career Center

Senior Data Scientist

Lehi, UT · On-site

Identifies meaningful insights from large data and metadata sources; interprets and communicates ... Prior experience in the healthcare technology or financial services industry is a plus. ABOUT ...

Patientco

Senior Data Scientist

Lehi, UT · On-site

Identifies meaningful insights from large data and metadata sources; interprets and communicates ... Prior experience in the healthcare technology or financial services industry is a plus. ABOUT ...

Waystar, Inc

Senior Data Scientist

Lehi, UT · On-site

$180 - $250/hr

Identifies meaningful insights from large data and metadata sources; interprets and communicates ... Prior experience in the healthcare technology or financial services industry is a plus. ABOUT ...

Waystar

Senior Data Scientist

Lehi, UT · On-site

Identifies meaningful insights from large data and metadata sources; interprets and communicates ... Prior experience in the healthcare technology or financial services industry is a plus. ABOUT ...

krg technology inc

Data Modeler

Salt Lake City, UT

$53 - $68.75/hr

Company Description Krg Tech inc 661 558 0000* 509 Experience with logical and physical data modeling in a large Enterprise environment Proficient in Oracle/SQL server and ETL tools. Experience with ...

Epicor

Senior Data Ops Developer

Lehi, UT · Hybrid

Experience using PySpark, Apache Spark, Python, or comparable data-processing technologies. * Exposure to AI-enabled solution development using services or platforms such as Azure AI, generative AI ...

Pwc

Data Engineer - Senior Manager

Salt Lake City, UT

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

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Data Technology information

See Utah salary details

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How much do data technology jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data technology in Utah is $35.32, according to ZipRecruiter salary data. Most workers in this role earn between $16.27 and $53.57 per hour, depending on experience, location, and employer.

What is a data technology?

A Data Technology job focuses on managing, processing, and analyzing data using various tools and technologies. Professionals in this field work with databases, cloud platforms, and big data frameworks to store, organize, and extract insights from data. They may also develop data pipelines, ensure data quality, and optimize data infrastructure for business and analytical use.

What are the typical responsibilities of someone working in data technology?

Professionals in Data Technology are typically responsible for developing and maintaining data infrastructure, designing databases, ensuring data quality, and implementing data security standards. Day-to-day tasks may involve collaborating with analysts, engineers, and business stakeholders to enable data-driven decision-making and optimize existing systems. As part of a cross-functional team, you might be tasked with troubleshooting data issues, integrating new data sources, and supporting the deployment of analytics solutions. This role offers exposure to a fast-evolving environment, expands your technical skills, and often provides opportunities to progress toward senior data engineering or data architect positions.

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

To thrive in a Data Technology role, you need strong analytical skills, experience in data management, and knowledge of programming languages such as SQL or Python, often supported by a bachelor’s degree in computer science, information systems, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), cloud platforms (AWS, Azure, or Google Cloud), and relevant certifications (such as Certified Data Management Professional) is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills are key soft skills for success. These competencies help ensure the integrity, accessibility, and actionable value of data within an organization.

What are popular job titles related to Data Technology jobs in Utah?

For Data Technology jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Data Technology jobs in Utah look for?

The top searched job categories for Data Technology jobs in Utah are:

Data Technology jobs near you
Infographic showing various Data Technology job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $73,473 per year, or $35.3 per hour.

Senior Data Scientist

Crew Career Center

Lehi, UT • On-site

Full-time

Medical, Retirement, PTO

Posted 25 days ago

Job description

ABOUT THIS POSITION

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Incumbents whose primary role is technical and focused on data storage, warehousing and systems architecture should be matched to Database Engineering or Storage Engineering. Incumbents whose focus is the quantitative analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers should be matched to Business Intelligence. Incumbents whose primary role is technical and focused on designing and building system-generated reports, reporting tools and dashboards for data generation should be matched to Data Informatics. Incumbents whose focus is primarily on experimental design and advanced or complex statistical analysis and modeling of datasets should be matched to Statistician/Mathematician. This is a product engineering role in which employees work with multiple types of business data. Incumbents whose focus is primarily on analysis and modeling of financial, marketing or pricing data should be matched to Finance, Market Research or Pricing as appropriate. May be internal operations-focused or external client-focused, working in conjunction with Professional Services and outsourcing functions.

WHAT YOU'LL DO

* Lead the design, development, and implementation of sophisticated machine learning models and predictive analytics solutions to solve critical business problems.
* Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning within the team.
* Collaborate with cross-functional teams (engineering, product, business stakeholders) to define data science project requirements, scope, and deliverables.
* Conduct in-depth data exploration, analysis, and visualization to identify trends, patterns, and anomalies, presenting findings clearly and concisely to diverse audiences.
* Develop and maintain robust data pipelines and infrastructure in collaboration with data engineers to ensure data quality, accessibility, and integrity.
* Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, evaluating and recommending new technologies and methodologies.
* Contribute to the strategic direction of Waystar's data science initiatives, identifying opportunities for innovation and impact.
* Champion data-driven decision-making throughout the company, educating and influencing stakeholders on the power of data science.
* Evaluate and select appropriate statistical methods and machine learning algorithms for various business challenges, ensuring rigor and validity.

WHAT YOU'LL NEED

* Master's or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
* 8+ years of progressive experience in data science, with a proven track record of delivering impactful data-driven solutions in a fast-paced environment.
* Expert-level proficiency in Python and/or R for data manipulation, statistical analysis, and machine learning model development.
* Extensive experience with various machine learning techniques (e.g., supervised, unsupervised, reinforcement learning, deep learning) and their practical applications.
* Strong understanding of statistical modeling, experimental design, hypothesis testing, and causal inference.
* Proficiency in SQL for data querying and manipulation, with experience working with large-scale datasets.
* Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable.
* Excellent communication, presentation, and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
* Demonstrated ability to lead projects, mentor team members, and drive successful outcomes.
* Prior experience in the healthcare technology or financial services industry is a plus.

ABOUT WAYSTAR

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful,optimistic & fun.

Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.comor follow @Waystaron Twitter.

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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