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Data Jobs in Sandy, UT (NOW HIRING)

JOURNEYTEAM

Data Architect

Draper, UT

$59.50 - $76.75/hr

JourneyTeam's Data & AI practice is growing, and we're looking for a hungry, humble, and curious Data Architect to join our world-class team. This is a hands-on, customer-facing role: you'll be in ...

JourneyTEAM

Data Architect

Draper, UT · On-site +1

$140K - $200K/yr

JourneyTeam's Data & AI practice is growing, and we're looking for a hungry, humble, and curious Data Architect to join our world-class team. This is a hands-on, customer-facing role: you'll be in ...

Kforce Technology Staffing

Data Analyst

Draper, UT · On-site

Perform ad hoc data analysis to support business stakeholders * Analyze large datasets to identify trends, patterns, and opportunities * Build and maintain data models and reporting structures

Patientco

Data Scientist

Lehi, UT

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.

Navtech, Inc.

Data Analyst

Salt Lake City, UT · On-site

Data Analyst Location : Salt Lake City/UT Duration : 12 Months Contract : Requirements : * Degree - Candidate must possess a bachelor's degree from an accredited college in Computer Science ...

Stio

Data Analyst

Salt Lake City, UT · Remote

YOUR ROLE The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a ...

Element Materials Technology

Data Processor

Orem, UT · On-site

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

Crew Career Center

Data Scientist

Lehi, UT · On-site

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.

Meetcute

Data Scientist

Provo, UT

MeetCute needs a data scientist MeetCute has a lot of data, and needs to mine that data to #hackdating. As a growing company, we're looking for smart, curious people to answer questions and provide ...

Stio

Data Analyst

Salt Lake City, UT · Remote

YOUR ROLE The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a ...

Stio

Data Analyst

Salt Lake City, UT · Remote

YOUR ROLE The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a ...

NRG

Data Analyst

Provo, UT · On-site

If you love digging into data, keeping things accurate, and turning numbers into clear narratives, this could be a great fit. What You'll Do * Build and maintain SQL-based reporting views and queries ...

Waystar

Data Scientist

Lehi, UT · On-site

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.

Waystar

Data Scientist

Lehi, UT · On-site

They are looking for an experienced Data Scientist to solve technical, data-driven Healthcare problems using computer science and statistical methods, while maximizing the utility of predictive ...

Waystar

Data Scientist

Lehi, UT · On-site

The data scientist role involves solving data-driven Healthcare problems using various machine learning and predictive modeling methods. This person will primarily work as part of the larger Data ...

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Showing results 1-20

All JobsData JobsData Jobs in Sandy, UT

Data information

See Sandy, UT salary details

$43.7K

$156.8K

$231.4K

How much do data jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data in Sandy, UT is $156,810.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,900.00 and $161,500.00 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.
More about Data jobs
What are the most commonly searched types of Data jobs in Sandy, UT? The most popular types of Data jobs in Sandy, UT are:
What job categories do people searching Data jobs in Sandy, UT look for? The top searched job categories for Data jobs in Sandy, UT are:
What cities near Sandy, UT are hiring for Data jobs? Cities near Sandy, UT with the most Data job openings:
Data jobs near you
Infographic showing various Data job openings in Sandy, UT as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $156,810 per year, or $75.4 per hour.
Data Architect (Data Platform)

Data Architect (Data Platform)

RevSpring, Inc.

Salt Lake City, UT • On-site

$61.75 - $79.25/hr

Full-time

Re-posted 11 days ago

Job description

Job Title: Data Architect (Data Platform)
Job Summary:
As a Data Architect for healthcare applications, you are responsible for innovating, designing and managing scalable, secure, and interoperable data systems that support clinical, operational, and financial workflows. This role focuses on structuring complex healthcare data from electronic health records (EHRs) to healthcare financial data into cohesive architectures that enable accurate reporting, analytics, and patient care insights. This role will ensure compliance with healthcare regulations such as HIPAA, implement industry standards like HL7 and FHIR for seamless data exchange, and establish strong data governance, quality, and security practices such as HITRUST. By aligning data strategy with organizational goals, this role plays a critical part in improving data accessibility, reliability, and ultimately patient outcomes.
Data Modeling & Design
You need to be fluent in conceptual, logical, and physical data modeling. That includes understanding normalization vs. denormalization, dimensional modeling (star/snowflake schemas), and designing for scalability and performance.
Database & Storage Expertise
Deep knowledge of both relational and non-relational systems is critical. This also means familiarity with data lakes, lakehouses, and distributed storage systems/warehouses (e.g., S3, Delta Lake, BigQuery)
Data Integration
Designing pipelines that move and transform data reliably. This includes experience with ETL/ELT tools (DBT), streaming systems (Kafka, Kinesis), and orchestration frameworks (Airflow, etc.) with the ability to understand batch vs. real-time tradeoffs
Performance Optimization
Indexing strategies, partitioning, query tuning, and workload. The ability to architect for scale, resiliency and business continuity.
Strategic Thinking
Beyond solving today's problems, you will define our data strategy including:
  • Define what the future data architecture should look like
  • Determine how and where to reduce technical debt
  • Identify how to enable analytics insights, incorporate AI, and drive self-service?

Artificial Intelligence (AI)
  • Define and evolve data architectures that support AI/ML workloads, including curated training datasets, feature stores, and scalable pipelines for batch and real-time inference
  • Define and evolve data architectures that leverage AI to drive greater operational efficiency, reduce system complexity, and accelerate the ingestion and processing of healthcare data across platforms
  • Design scalable pipelines and platforms (e.g., lakehouse, streaming, feature stores) that enable faster data availability for AI-driven insights and real-time decision support

Minimum Requirements:
Specific Job Skills:
  • 12+ years of software engineering experience, including hands-on technical experience building, maintaining and scaling data systems.
  • 5+ years of experience as a tech lead who successfully converts business / product requirements into well architecture designs.
  • Extensive experience in building and scaling large data pipelines including real time processing and / or 100+ GB transformation in Java, Python, DBT, and SQL.
  • Extensive experience in building and driving large business outcomes by leveraging a combination of existing and new technologies.
  • A deep knowledge of common data technology stacks such as GCP BigQuery, Snowflake, Databricks, DBT, Datalake architecture on AWS S3 or GCP Cloud storage.
  • A deep knowledge in cloud platforms such as AWS, GCP, or Azure, and cloud-native API solutions.
  • Deep knowledge of data modeling and data governance control
  • Strong RESTful API design principle, microservices architecture, distributed asynchronous system and good design patterns
  • Strong knowledge with CI/CD pipelines (CircleCI, Github Action), containerization (Docker, Kubernetes), and version control (Git), infrastructure as code (Pulumi, Terraform), Relational and NoSQL databases, caching mechanisms (Redis, Memcached), and performance optimization techniques.
  • Strong leadership and communication skills, with the ability to influence cross-functional teams and communicate complex technical details to upper management and non-technical stakeholders.
  • Proven problem-solving ability with a focus on delivering solutions
  • Positive attitude: Maintaining a constructive approach to work challenges.

Language Skills:
Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources.
Physical Capabilities: Standard categories
The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Note: This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.

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