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Data Analytics Engineer Jobs in Utah (NOW HIRING)

Sr. Data Engineer

Draper, UT

$107K - $128.50K/yr

We'll rely on your expertise across data, analytics, ML, and AI engineering to develop, automate, and maintain pipelines and intelligent systems. Your ability to use AI in building reliable ...

Principal Data Scientist

Salt Lake City, UT · On-site +1

$131.75K - $178.25K/yr

Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines. * 7+ years of experience in data analysis software, with data ...

Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines. * 7+ years of experience in data analysis software, with data ...

Data Engineer, AI

American Fork, UT · On-site +1

$102.30K - $122.90K/yr

Partner with analytics engineers, data scientists, and business stakeholders to translate requirements into durable data solutions. * Document data architecture, pipeline design, and modeling ...

Data Engineer

Salt Lake City, UT

$99.60K - $156.50K/yr

Overview Source, extract, and manipulate large data sets to serve Business Analytics, Machine ... Data Engineering - Preferred * Python (Programming Language) - Preferred * SQL (Programming ...

Senior Data Scientist

Salt Lake City, UT · On-site

$110.50K - $149.50K/yr

Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines. * 5+ years of experience in data analysis software, with data ...

Senior Data Scientist

Salt Lake City, UT · On-site +1

$110.50K - $149.50K/yr

Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines. * 5+ years of experience in data analysis software, with data ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

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Showing results 1-20

Data Analytics Engineer information

See Utah salary details

$40.5K

$118.1K

$161.6K

How much do data analytics engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for data analytics engineer in Utah is $118,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $125,200.00 per year, depending on experience, location, and employer.

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.

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.

What does a Data Analytics Engineer do?

A Data Analytics Engineer designs, builds, and maintains the systems and infrastructure needed to collect, store, and analyze large sets of data. They work closely with data scientists, analysts, and business stakeholders to ensure data is accessible, reliable, and organized for analysis. Their responsibilities typically include building data pipelines, optimizing database performance, and ensuring data quality and security. Data Analytics Engineers play a crucial role in transforming raw data into actionable insights that drive business decisions.

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 are the most commonly searched types of Data Analytics Engineer jobs in Utah? The most popular types of Data Analytics Engineer jobs in Utah are:
What are popular job titles related to Data Analytics Engineer jobs in Utah? For Data Analytics Engineer jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Data Analytics Engineer jobs? Cities in Utah with the most Data Analytics Engineer job openings:
Part-Time Data Analyst Technician (Manufacturing Systems / Computer Science Focus)

Part-Time Data Analyst Technician (Manufacturing Systems / Computer Science Focus)

Campbell Soup Company

Richmond, UT • On-site

$18.95/hr

Part-time

Medical, Dental, Retirement

Posted 10 days ago


Job description

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover. Swanson, and V8.
Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.
Job Title: Part-Time Data Analyst Technician (Manufacturing Systems / Computer Science Focus)
Location: Richmond Ut.
Job Type: Part-Time
Department: Operations / Continuous Improvement / IT
Reports To: Manager of Continuous Improvement
Position Summary
We are seeking a Part-Time Data Analyst Technician with a strong computer science and data analytics background. This role will focus on transforming manufacturing and operational data into actionable insights through Power BI dashboards, Python automation, SQL data management, and DAX-based analytics.
The ideal candidate is highly analytical, comfortable working with manufacturing data, and capable of building automated data pipelines and visualizations that support real-time operational decision-making, productivity tracking, and continuous improvement initiatives.
Key Responsibilities -
Data Analytics & Visualization:
Develop and maintain Power BI dashboards and reports to monitor manufacturing performance, productivity, downtime, and quality metrics.
Write and optimize DAX measures and calculated columns to support advanced operational analytics.
Transform raw manufacturing data into meaningful visualizations for leadership and production teams.
Build automated reporting solutions to support daily production reviews and Redzone performance tracking.
Data Engineering & Programming:
Write Python scripts to automate data extraction, transformation, and reporting processes.
Design and maintain SQL queries, stored procedures, and database structures for operational data.
Integrate data from Redzone MES, ERP systems, spreadsheets, and other manufacturing data sources.
Manufacturing Systems Implementation :
Support implementation and rollout of the Redzone Manufacturing Execution System (MES).
Assist with data integration, data validation, and dashboard creation tied to Redzone data streams.
Help design KPI structures aligned with Lean Manufacturing and Continuous Improvement principles.
Support real-time data visibility initiatives on the production floor.
Data Quality & Optimization:
Ensure accuracy and consistency of manufacturing data used for reporting.
Develop tools to validate, clean, and standardize data sources.
Identify opportunities for automation and process improvement through data analytics.
Required Qualifications:
Current coursework in Computer Science, Data Analytics, Information Systems, or related field (or equivalent experience).
Strong experience with Power BI including:
Data modeling
Dashboard creation
Power Query
Strong DAX coding skills.
Proficiency in Python programming for data analysis and automation.
Experience writing complex SQL queries and working with relational databases.
Strong analytical and problem-solving skills.
Ability to translate data into clear operational insights.
Preferred Qualifications
Experience working with Manufacturing Execution Systems (MES) or production data.
Familiarity with Redzone productivity systems.
Experience with Lean Manufacturing, Six Sigma, or Continuous Improvement programs.
Experience integrating ERP or operational databases with reporting tools.
Knowledge of data pipeline design and automation workflows.
Key Skills:
Power BI Dashboard Development
DAX Analytics
Python Data Automation
SQL Data Management
Manufacturing Data Analysis
Data Visualization & Reporting
Continuous Improvement Analytics
Work Schedule:
Part-Time (10-25 hours per week)
Flexible scheduling available depending on project needs.
Impact of the Role :
This role will directly support data-driven manufacturing operations, helping leadership and production teams gain real-time insights into performance, downtime, efficiency, and continuous improvement opportunities through the Redzone system.
Pay:
$18.95/hour
Individual base pay depends on work location and additional factors such as experience, job-related skills, and relevant education or training. Total pay may include other forms of compensation. In addition, we offer competitive health, dental, 401k and wellness benefits beginning on the first day of employment. Please ask your Talent Acquisition Partner for more information about our total rewards package.
The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.