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Data Jobs in Midvale, UT (NOW HIRING)

Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data science and advanced analytics for large manufacturing and retail company. Employ Artificial Intelligence ...

Data Modeler

Salt Lake City, UT · On-site

$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 ...

Full-time Description Do you enjoy turning complex data into meaningful business decisions? Are you the type of analyst who asks "why" instead of simply reporting "what"? If so, A&K Railroad ...

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

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 ...

New

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Red Cat Holdings is seeking a Data Engineer to build their data foundation from the ground up. The role involves creating ETL/ELT pipelines, setting up a cloud data warehouse, and collaborating with ...

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

As a Data Engineer , you will be the core engineering resource responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable ...

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

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 ...

New

Data Engineer

Lehi, UT

$107K - $129K/yr

As a Data Engineer , you will be the core engineering resource responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable ...

Data Engineer

Woods Cross, UT · On-site

$108K - $129K/yr

Data Engineer (Mid-Level) Utah (Local Required) Overview AutoSavvy is a fast-growing automotive retailer focused on providing high-quality, branded title vehicles at competitive prices nationwide. We ...

Data Engineer

Lehi, UT

$107K - $129K/yr

As a Data Engineer , you will be the core engineering resource responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable ...

Data Engineer

Draper, UT

$100K - $114K/yr

T. is actively seeking a Data Engineer for an immediate full-time opportunity with our industry leading client. Are you on the lookout for a unique career opportunity that offers leadership ...

Data Engineer

Salt Lake City, UT

$105K - $126K/yr

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 ...

Nopreviousexperience in AI or data labelingrequired. The perfect candidate for this role is adaptable, can apply logic to multiple different scenarios, is attentive to detail, has experience with ...

Data Engineer

Lehi, UT · On-site

$90K - $120K/yr

ZimZee Recruiting is looking for a Data Engineer to join our medical device client in Lehi focused on building reliable data infrastructure and supporting machine learning workflows in production.

Build and maintain data pipelines powering operational reporting for scheduling, finance, credentialing, and clinical operations * Integrate data sources into the warehouse - EHR (NextGen), CRM ...

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Showing results 1-20

Data information

See Midvale, UT salary details

$43.4K

$155.6K

$229.6K

How much do data jobs pay per year?

As of Jul 16, 2026, the average yearly pay for data in Midvale, UT is $155,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,900.00 and $160,300.00 per year, depending on experience, location, and employer.

What do data jobs do?

Data jobs involve collecting, analyzing, and interpreting data to help organizations make informed decisions. Roles such as data analysts and data scientists use tools like SQL, Python, or R to process large datasets and generate insights. These jobs often require strong analytical skills and knowledge of data management and visualization techniques.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

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 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 is the definition of data?

Data in a data-related job refers to raw, unprocessed facts and figures collected for analysis, decision-making, or processing. It can include numbers, text, images, or other information stored and managed using tools like databases and data analysis software. Understanding data is essential for tasks such as data cleaning, interpretation, and reporting.

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 interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

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 skills are needed for data jobs?

Data jobs typically require strong analytical skills, proficiency in programming languages such as Python or R, and knowledge of database management and SQL. Familiarity with data visualization tools like Tableau or Power BI and understanding of statistical methods are also important. Additionally, problem-solving abilities and attention to detail are essential for success in this field.

What are the 4 types of data?

In data-related jobs, the four main types of data are structured data, which is organized in databases and spreadsheets; unstructured data, such as emails, videos, and social media content; semi-structured data, like XML or JSON files that have some organization; and metadata, which provides information about other data. Understanding these types helps data professionals manage, analyze, and interpret data effectively using tools like SQL, Python, or data visualization software.

What is data on my phone?

Data on your phone refers to the digital information stored or transmitted by your device, including apps, files, and internet activity. For a data-related job, understanding how data is collected, managed, and secured is essential, often involving skills in data analysis, database management, and cybersecurity. Managing phone data may also require knowledge of mobile operating systems and data privacy practices.

What are the synonyms of data?

For a data analyst or data scientist, synonyms of data include information, figures, statistics, metrics, and records. These terms are often used interchangeably depending on the context and type of data being handled, and familiarity with data management tools like SQL or Excel can aid in working with these concepts.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior investment bankers, hedge fund managers, specialized surgeons, and top executives like CEOs and CFOs. These positions often require extensive experience, advanced degrees, and strong industry networks, with compensation frequently including bonuses and stock options.
What are the most commonly searched types of Data jobs in Midvale, UT? The most popular types of Data jobs in Midvale, UT are:
What cities near Midvale, UT are hiring for Data jobs? Cities near Midvale, UT with the most Data job openings:

Data Scientist

swirecc

Draper, UT • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data science and advanced analytics for large manufacturing and retail company. Employ Artificial Intelligence and Machine Learning techniques across all business channels, customer and consumer segments, markets and products. Pursue use cases to analyze and drive revenue, lower costs, increase speed, and reduce risk. Use Databricks to transform raw data into cognizable information. Use statistical analysis and advanced machine learning techniques to build descriptive, diagnostic and predictive models. Use ML Ops to deploy models. Use PowerBI for business reporting and dashboards to enable decision making. Evaluate implications of findings on business outcomes, and communicate and document work. Use Python and SQL to model real-world outcomes. 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 equivalent field, and 2 years of experience as a  Data Scientist. Proficiencies must include a minimum of: experience with Power BI; experience with Databricks; experience with Supervised and Unsupervised Machine Learning; experience with SQL; experience with Python; experience with PySpark; experience with  Statistical Analysis; experience with Predictive Analysis; and experience with Agile Methodology. #LI-DNI 

Job location: Draper, UT.

Alternatively, please send your resume, cover letter, and a copy of the ad to: Amber Ivie, 12634 South 265 West, Draper, UT 84020.