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Analytics Engineer Jobs in Ogden, UT (NOW HIRING)

Senior Analytics Engineer

Salt Lake City, UT

$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 ...

Senior-Level Radiation Analysis Engineer Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The 2,000+ employees of Draper tackle important national ...

Data Architect

Salt Lake City, UT · On-site

$61.25 - $78.75/hr

Bachelor's Degree (Computer Science, Technology, Engineering, or related field) * 10+ years of experience as a data analytics developer or engineer * 5+ years of experience in developing data ...

Data Architect

Salt Lake City, UT · On-site

$61.25 - $78.75/hr

Bachelor's Degree (Computer Science, Technology, Engineering, or related field) * 10+ years of experience as a data analytics developer or engineer * 5+ years of experience in developing data ...

Resident Engineer

Salt Lake City, UT · On-site

$95K - $122K/yr

As a Resident Engineer you will supervise the work of technical staff involving engineering analysis, highway design, structural design, maintenance, construction, and traffic engineering. You will ...

Conduct systems engineering reviews and analyses across all lifecycle phases including concept development, engineering and manufacturing development, production, deployment, and operations & support

Conduct systems engineering reviews and analyses across all lifecycle phases including concept development, engineering and manufacturing development, production, deployment, and operations & support

Conduct systems engineering reviews and analyses across all lifecycle phases including concept development, engineering and manufacturing development, production, deployment, and operations & support

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Analytics Engineer information

See Ogden, UT salary details

$57.4K

$100.2K

$163.4K

How much do analytics engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for analytics engineer in Ogden, UT is $100,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,806.00 and $112,439.00 per year, depending on experience, location, and employer.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for analysts and data scientists. Their role often involves collaborating with teams to optimize data workflows and ensure data quality.

What are the key skills and qualifications needed to thrive as an analytics engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What job categories do people searching Analytics Engineer jobs in Ogden, UT look for? The top searched job categories for Analytics Engineer jobs in Ogden, UT are:
What cities near Ogden, UT are hiring for Analytics Engineer jobs? Cities near Ogden, UT with the most Analytics Engineer job openings:
Infographic showing various Analytics Engineer job openings in Ogden, UT as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $100,172 per year, or $48.2 per hour.

Senior Analytics Engineer

ARUP Laboratories

Salt Lake City, UT • On-site

$100K - $138K/yr

Full-time

Re-posted 29 days ago


ARUP Laboratories rating

7.5

Company rating: 7.5 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

65th of 120 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.


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