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Data Jobs in Midvale, UT (NOW HIRING)

Headlight

Data Engineer

Salt Lake City, UT · On-site

$150K - $165K/yr

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

Bespoke Labs

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Bespoke Labs

Data Engineer

West Jordan, UT · On-site

$106K - $128K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Upbound

Manager Data Intelligence

Draper, UT

Manager Data Intelligence (Draper, UT, In-Office) Upbound Group, Inc. (NASDAQ: UPBD) is a technology and data-driven leader in accessible and inclusive financial solutions that address the evolving ...

New

NetDocuments

Staff Data Architect

Lehi, UT

$59.75 - $77/hr

We are looking for a Data Architect to set the north-star data strategy for the company and lead the re-architecture of our data platforms for a cloud-native, AWS-centered future. This is a defining ...

Brevium

Data Analyst Assistant

American Fork, UT · On-site

$20 - $22/hr

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location: American Fork, Utah (In Office) About Us: Brevium is a dynamic and innovative healthcare technology company located in ...

New

NetDocuments

Staff Data Architect

Lehi, UT · On-site +1

$59.75 - $77/hr

We are looking for a Data Architect to set the north-star data strategy for the company and lead the re-architecture of our data platforms for a cloud-native, AWS-centered future. This is a defining ...

Pwc

Data Strategy-Manager

Salt Lake City, UT

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Pwc

Data Governance- Manager

Salt Lake City, UT

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Brevium

Data Analyst Assistant

American Fork, UT

$20 - $22/hr

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location: American Fork, Utah (In Office) About Us: Brevium is a dynamic and innovative healthcare technology company located in ...

New

Snap Finance

Data Scientist III

West Valley City, UT · On-site

Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built ...

Snap Finance

Data Analyst I

West Valley City, UT · On-site

Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built ...

ARUP

Data Consultant II

Salt Lake City, UT · On-site

Performs complex data analyses on large data files containing clinical and financial data. Supports designing, developing, implementing, and maintaining business solutions to optimize analytical ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

The data scientist role involves solving technical, data-driven Healthcare problems using computer science, mathematical, predictive modeling and statistical methods, & knowledge. This person will ...

Harris Company

Facility Data Analyst

Salt Lake City, UT · On-site +1

$56K - $85K/yr

As a Facility Data Analyst , you will work to support the development and deployment of cutting-edge fault detection and diagnostic services and will have a continual impact on a wide portfolio of ...

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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 Jul 15, 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.
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 cities near Midvale, UT are hiring for Data jobs? Cities near Midvale, UT with the most Data job openings:
Data jobs near you
Data Engineer

Data Engineer

Headlight

Salt Lake City, UT • On-site

$150K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Job description

Join a team that's transforming mental healthcare. Founded by psychiatrists, Headlight is more than a company: it's a movement. A movement that exists on the front lines of the mental health crisis, transforming the way people access care and the way clinicians deliver it. In order to help people in their time of need and ensure that every person who comes to us has options, we are transparent about our capabilities, treatments, and coverage, we champion innovation, and we leverage our rich data to continuously implement better ways of delivering care. Our mission is simple but powerful: Improving lives, one session at a time. 

Our highly skilled and principled clinical team enjoys autonomy and institutional support so they can put their focus where it should be: on improving patient outcomes. Our clinicians want to do more than help individual clients, so they work to affect the system as a whole, elevating standards of care so that their efforts reverberate far beyond what they could do in private practice.

As the most trusted behavioral health partner in the Western U.S., we've established deep relationships that give us unparalleled access, interoperability, and first-priority referrals. This exclusivity, combined with our best-in-class coordinated care and feedback loops, results in superior outcomes and cost savings.

Our services are convenient, accessible, and expert, combining personalized client engagement with advanced technology to enhance, not replace, human connection. Indeed, we hold that human-to-human relationships are indispensable, so from the match to the session to the time between sessions, we provide whole person care so nobody falls through the cracks and there is a brighter path forward for all.
Our Pillars
  • Make things easier.
  • Forge genuine connections.
  • Elevate the standard.
Roles and Responsibilities

  • Own and extend the Python-based ETL job orchestration engine: add new job types, monitor execution, and resolve production failures 

  • Build and maintain data pipelines powering operational reporting for scheduling, finance, credentialing, and clinical operations 

  • Integrate data sources into the warehouse - EHR (NextGen), CRM (HubSpot), HR platforms (ADP, Lever), credentialing (Modio), call center (Five9), and other third-party APIs 

  • Optimize high-frequency SQL workloads  

  • Support and extend custom AI agents 

  • Maintain HIPAA compliance across all data handling: enforce access controls, audit logging, and PHI segregation in pipelines and reporting layers 

  • Write and maintain version-controlled code in the GitHub repository 

Required Qualifications

  • 3+ years of data engineering experience in a production environment 

  • Strong SQL skills: complex stored procedures, CTEs, window functions, temp tables, index optimization, execution plan analysis 

  • Python proficiency for ETL workloads: pandas, pyodbc or SQLAlchemy, REST API consumption, file handling, scheduling 

  • Hands-on experience data warehouse/ETL workloads 

  • Experience building and maintaining scheduled data pipelines with robust error handling, retry logic, and logging 

  • Ability to debug production failures independently, communicate status clearly, and resolve issues quickly under pressure 

  • Comfort working in a HIPAA-regulated environment and handling PHI with appropriate care and controls 

  • Familiarity with Azure Blob Storage or equivalent object storage for ETL staging workflows 

Preferred Qualifications

  • HubSpot CRM data integration experience (Contacts, Deals, Tickets, Company hierarchy, API rate limit handling) 

  • Healthcare data experience: EHR integrations (NextGen, Epic, or Cerner), credentialing systems, claims data, HIPAA BAA contexts 

  • Experience building or maintaining AI/LLM-powered applications (Claude, OpenAI) in a production context 

  • Familiarity with voice or telephony data pipelines, conversational AI systems, or patient intake automation 

  • Experience with complex provider or resource scheduling systems and the data modeling they require 

  • Exposure to CAC, LTV, or patient funnel analytics in a B2C healthcare or SaaS context 

  • Strong communication skills - this team works directly with clinical ops, finance, and marketing stakeholders 

Benefits

  • W2 role with competitive compensation

  • Medical, Dental and Vision on the first of the month after employment

  • Paid Vacation, Sick, and Holiday time

  • Employee Assistance Program (EAP) provides confidential counseling services, resources, and support to help you navigate personal or professional challenges. 

  • 401(k) plan with company contribution

  • Opportunity to work in a cutting-edge healthcare technology environment

  • Professional development opportunities and training

  • Collaborative and supportive work culture

  • Impactful role contributing to the enhancement of patient care and healthcare processes

$150,000 - $165,000 a year
If you need any accommodations for your interview please email [email protected] prior to scheduling.

Not meeting all the requirements? Research indicates that women, communities of color, and historically underrepresented individuals are often hesitant to apply for jobs unless they meet every qualification. We are committed to cultivating a diverse, inclusive, and genuine workplace. If you're enthusiastic about this position but your previous experience doesn't precisely match every qualification listed, we enthusiastically encourage you to submit your application. You could be the ideal candidate for this role or others!

Headlight is committed to the principles of diversity, equity, and inclusiveness and seeks to create a working environment reflective of this commitment. We seek to provide a diverse clinician base to support the diversity of our clients. Headlight supports and respects diversity of people, culture, and ideas throughout our organization. Headlight thrives to be a welcoming, diverse and discrimination- and harassment-free workplace.

By applying for this position, you consent to receive future communications from Headlight via email or text regarding this application and related employment opportunities. You may opt-out at anytime by contacting us directly.

Job Postings on Indeed and other job boards may post with total compensation (base + bonus). For the exact base salary range please check our website or our job-site
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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