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Data Jobs in Midvale, UT (NOW HIRING)

RevSpring

Data Architect (Data Platform)

Salt Lake City, UT · On-site

$61.75 - $79.25/hr

Responsibilities : • As a Data Architect for healthcare applications, you are responsible for innovating, designing and managing scalable, secure, and interoperable data systems that support ...

Journeyteam

Data Architect

Draper, UT · On-site

$140 - $200/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 ...

The Good and the Beautiful

Data Analyst

Lehi, UT · On-site +1

This position transforms data from multiple business systems into reliable reporting, actionable insights, and forecasts that help leadership understand business performance and identify ...

JOURNEYTEAM

Data Architect

Draper, UT · On-site

$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 ...

University of Utah

Data Scientists

Salt Lake City, UT · On-site

$75K - $105K/yr

Responsibilities Data Scientist, I Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning ...

Stadler US Inc.

Data Analyst

Salt Lake City, UT · On-site

HOW YOU CAN MAKE AN IMPACT The Data Analyst is responsible for collecting, analyzing, and interpreting manufacturing and supply chain data to support operational efficiency, inventory optimization ...

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.

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 ...

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 ...

Waystar, Inc

Data Scientist

Lehi, UT · On-site

$90 - $120/hr

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.

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All JobsData JobsData Jobs in Midvale, UT

Data information

See Midvale, UT salary details

$43.4K

$155.6K

$229.6K

How much do data jobs pay per year?

As of Aug 8, 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 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.

Is it hard to get a data job?

Getting a data job can be competitive, as it often requires strong skills in data analysis, programming, and tools like SQL or Python. Relevant experience, certifications, and a solid portfolio can improve chances of securing a position in this field.

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 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.

More about Data jobs
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 job categories do people searching Data jobs in Midvale, UT look for? The top searched job categories for 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 jobs near you
Infographic showing various Data job openings in Midvale, UT as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $155,630 per year, or $74.8 per hour.

Data Architect (Data Platform)

RevSpring, Inc.

Salt Lake City, UT • On-site

$61.75 - $79.25/hr

Full-time

Re-posted 5 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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