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Data Analytics Engineer Jobs in Sandy, UT (NOW HIRING)

ARUP

Senior Analytics Engineer

Salt Lake City, UT · On-site

$100K - $138K/yr

The Sr. Analytics Engineer is responsible for modeling our complex clinical and operational data into data products that capture how a world-class laboratory functions. Works with Information ...

Neighbor

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Standardize analytics workflows by integrating software engineering best practices, including version control, CI/CD pipelines, and automated data validation protocols * Develop and refine a robust ...

Neighbor

Data Engineer

Lehi, UT

$107K - $129K/yr

Standardize analytics workflows by integrating software engineering best practices, including version control, CI/CD pipelines, and automated data validation protocols * Develop and refine a robust ...

Neighbor

Data Engineer

Lehi, UT

$107K - $129K/yr

Standardize analytics workflows by integrating software engineering best practices, including version control, CI/CD pipelines, and automated data validation protocols * Develop and refine a robust ...

Packsize International LLC

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 ... You will play a key role in advancing our data analytics capabilities, ensuring data is reliable ...

Packsize

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 ... You will play a key role in advancing our data analytics capabilities, ensuring data is reliable ...

Pwc

Data Engineer - Senior Associate

Salt Lake City, UT · On-site

$77K - $202K/yr

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

Pwc

Data Engineer - Senior Manager

Salt Lake City, UT · On-site

$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 ...

Pwc

Data Engineer - Manager

Salt Lake City, UT

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

Snap Finance

Data Analyst I

West Valley City, UT · On-site

Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics ... Experience with Python, R, or another analytical programming language. * Experience building ...

mophie

Director, Analytics

Midvale, UT

Direct and manage a small team of contractors: an Analytics Engineer responsible for data pipeline and infrastructure work, and a Tagging amp; Tracking Specialist responsible for implementation and ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Sandy, UT

Data Analytics Engineer information

See Sandy, UT salary details

$42.3K

$123.3K

$168.8K

How much do data analytics engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data analytics engineer in Sandy, UT is $123,324.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,700.00 per year, depending on experience, location, and employer.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

What are the key skills and qualifications needed to thrive as a Data Analytics Engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and systems to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
What job categories do people searching Data Analytics Engineer jobs in Sandy, UT look for? The top searched job categories for Data Analytics Engineer jobs in Sandy, UT are:
What cities near Sandy, UT are hiring for Data Analytics Engineer jobs? Cities near Sandy, UT with the most Data Analytics Engineer job openings:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Sandy, UT as of July 2026, with employment types broken down into 1% Internship, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $123,324 per year, or $59.3 per hour.
Senior Analytics Engineer

Senior Analytics Engineer

ARUP Laboratories

Salt Lake City, UT • On-site

$101K - $138K/yr

Full-time

Re-posted 6 days ago

ARUP Laboratories rating

7.3

Company rating: 7.3 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

60th of 105 rated laboratories

Job description

Schedule:
Monday - Friday (40 hrs/wk)
8:00 AM - 5:00 PM
Department: Biocomputing - 331
Primary Purpose:
The Sr. Analytics Engineer is responsible for modeling our complex clinical and operational data into data products that capture how a world-class laboratory functions. Works with Information Technology Staff, Medical Directors, and Lab Managers to understand the nuances of our laboratory operations to augment our data model for modern analytics tooling.
About ARUP:
ARUP Laboratories is a national clinical and anatomic pathology reference laboratory and an enterprise of the University of Utah and its Department of Pathology. Based in Salt Lake City, Utah.
ARUP proudly hires top talent to create a work environment of diversity, professional growth and continuous development. Our workforce is committed to the important service we provide to over one million patients each month. We always strive for excellence and have a strong desire to have involvement with the advances in medicine and the role laboratory services plays within each patient's life. We never forget that there is a patient behind every specimen we receive.
We are looking for individuals who want to contribute to ARUP's culture of accountability, integrity, service, and excellence. Consider joining our dynamic team.
Essential Functions:
Apply software engineering best practices (version control, modularity, and automated testing, etc) to our data transformation layer using industry-standard frameworks such as dbt.
Architect and optimize the query layer to ensure performant analytics across our data lake and warehouse using serverless or managed technologies like Athena, Redshift, or BigQuery.
Own the ingestion and orchestration frameworks that stitch together disparate clinical data sources using modern tools such as Glue, Airflow, or Dagster.
Lead the modernization of ARUP's data ontology for specific clinical and business domains such as Laboratory Operations, Revenue Cycle, Genomics, and Quality Control.
Contribute to the long-term technical roadmap for our data platform, informing high-level decisions on how to scale cloud-based storage and compute to handle high-volume data.
Collaborate with leadership to collect requirements and write the code for Secure, Timely, Accurate, Trusted, and Extensible (STATE) data products.
Other duties as assigned
Physical and Other Requirements:
Stooping: Bending body downward and forward by bending spine at the waist.
Reaching: Extending hand(s) and arm(s) in any direction.
Mobility: The person in this position needs to occasionally move between work sites and inside the office to access file cabinets, office machinery, etc.
Communicate: Frequently communicate with others.
PPE: Biohazard laboratory environment that requires use of personal protective equipment in accordance with CDC and OSHA regulations and company policies.
ARUP Policies and Procedures: To conduct self in compliance with all ARUP Policies and Procedures.
Sedentary Work: Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects.
Fine Motor Control: Picking, pinching, typing or otherwise working, primarily with fingers rather than with the whole hand as in handling.
Vision: Having close, far, and peripheral visual acuity to perform a variety of tasks such as make general observations of depth and distance.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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