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Data Engineer Jobs in Logan, UT (NOW HIRING)

Perception Engineer IV

Mendon, UT · On-site

$100 - $130/hr

Process and fuse data from cameras, LiDAR, radar, GPS/GNSS, inertial sensors, encoders, and other ... Partner with systems engineers to define interfaces, requirements, failure responses, and ...

Create and modify engineering tool project templates, meta-data, configuration data, and rules. Technical Expertise & Problem Solving: Apply a solid understanding of electrical engineering principles ...

Create and modify engineering tool project templates, meta-data, configuration data, and rules. Technical Expertise & Problem Solving: Apply a solid understanding of electrical engineering principles ...

Manufacturing Engineer

Logan, UT · On-site

$63K - $81K/yr

The Manufacturing Engineer leads process improvement and equipment-related projects, investigates ... Drive structured problem solving and root cause investigations utilizing Lean tools and data ...

Manufacturing Engineer

Logan, UT

$63K - $81K/yr

The Manufacturing Engineer leads process improvement and equipment-related projects, investigates ... Drive structured problem solving and root cause investigations utilizing Lean tools and data ...

Senior Manufacturing Engineer

Logan, UT · On-site

$78K - $107K/yr

This role applies engineering principles, data analysis, and cross-functional collaboration to improve process capability, reduce risk, and support operational performance while meeting food safety ...

Senior Manufacturing Engineer

Logan, UT · On-site

$78K - $107K/yr

This role applies engineering principles, data analysis, and crossfunctional collaboration to improve process capability, reduce risk, and support operational performance while meeting food safety ...

Controls Engineer

Smithfield, UT · On-site

$72K - $93K/yr

Engineering Job Family: Systems & Controls Engineering The purpose of this position is to provide ... Develop Supervisory Control and Data Acquisition (SCADA), Human-Machine Interface (HMI ...

Controls Engineer

Smithfield, UT

$72K - $93K/yr

Engineering Job Family: Systems & Controls Engineering The purpose of this position is to provide ... Develop Supervisory Control and Data Acquisition (SCADA), Human-Machine Interface (HMI ...

Senior Manufacturing Engineer

Logan, UT · On-site

$78K - $107K/yr

This role applies engineering principles, data analysis, and cross-functional collaboration to improve process capability, reduce risk, and support operational performance while meeting food safety ...

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Data Engineer information

See Logan, UT salary details

$38.4K

$111.9K

$153.1K

How much do data engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for data engineer in Logan, UT is $111,893.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,800.00 and $118,600.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in Logan, UT?

The most popular types of Data Engineer jobs in Logan, UT are:

What cities near Logan, UT are hiring for Data Engineer jobs?

Cities near Logan, UT with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Logan, UT as of August 2026, with employment types broken down into 5% Internship, 79% Full Time, and 16% Part Time. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $111,893 per year, or $53.8 per hour.

Analytics Engineer - Student Success

Logan, UT • On-site


Utah State University

7.2

Company rating: 7.2 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

386th of 627 rated colleges and universities

People enjoy working here

Good employer

Recommended by students


Full-time

Re-posted 11 days ago


Job description

Student Success Analytics Engineers play a central role in advancing the university’s analytics capabilities in support of student achievement, learning outcomes, and institutional effectiveness. This position works closely with the Institutional Data Engineering team and the Deputy Chief Data & Analytics Officer to develop and maintain the analytical data models that power predictive analytics, student success reporting, and institutional decision-making.


Student Success Analytics Engineers are responsible for transforming raw institutional data into curated, analytics-ready datasets through the development of a medallion data architecture (bronze, silver, gold layers). These datasets will enable advanced analytics, AI-powered applications, dashboards, and metrics related to student success, student services impact, academic program outcomes, and institutional value.

This position serves as the technical bridge between data infrastructure and analytics users, ensuring that institutional data is modeled, documented, and structured to support high-quality insights for university leaders, faculty, advisors, and student success teams.
USU is currently hiring for two positions to support the following areas of the university:

  1. Student Success Division: In this role the analytics engineer works closely with functional student success teams and leaders to translate operational and student engagement data into scalable analytical models that support student support program assessment, student retention and completion strategies, and continuous improvement efforts. The position will help integrate data from multiple university systems to provide actionable insights, dashboards, and reporting that improve the university’s ability to identify student needs, evaluate interventions, and support student success outcomes across the institution.
  2. Center for Civic Excellence: In this role the analytics engineer will design, develop, and maintain data models, assessment analytics, and reporting systems that support the measurement and continuous improvement of student learning within the Center for Civic Excellence. This role will work closely with faculty, academic leaders, and center staff to develop scalable approaches for collecting, analyzing, and communicating evidence of student learning outcomes. The position will help translate assessment and instructional data into actionable insights that inform curriculum development, support data-informed teaching and learning practices, and strengthen the Center’s ability to demonstrate educational quality, student growth, and institutional effectiveness.

This position is eligible for hybrid work within the state of Utah


Analytics Data Modeling

  • Design and maintain analytics-ready data models that support student achievement, learning outcomes assessment, and student success initiatives.
  • Develop curated data layers within the university’s medallion data architecture to support reporting, dashboards, and predictive analytics (silver and gold layers).
  • Transform complex institutional data sources into structured analytical datasets suitable for downstream analytics tools. Ensure data transformations are scalable, well-documented, and maintainable.
  • Optimize data transformations to support high-performance dashboards and analytics applications.
  • Implement dimensional models and semantic layers to support consistent institutional metrics.

Data Governance and Documentation

  • Document analytical datasets, transformations, and metric definitions.
  • Contribute to institutional data governance processes by helping define and standardize key student success metrics.
  • Ensure analytics data models align with institutional definitions and reporting standards.
  • Support data quality monitoring and validation processes.

Collaboration and Institutional Impact

  • Partner with stakeholders to understand analytics needs.
  • Translate institutional questions about student learning and success into scalable analytics solutions.
  • Contribute to the development of a modern analytics environment supporting data-informed decision-making across the university.
  • Support strategic analytics initiatives led by the Office of Data & Analytics.

Minimum Qualifications:

  • Bachelor’s degree in data science, computer science, information systems, statistics, or a related field plus one year of related experience.
  • Experience working with relational databases and SQL.
  • Experience developing data transformations or data pipelines.
  • Familiarity with data modeling concepts (e.g., dimensional modeling, star schemas).
  • Experience working with analytics or reporting tools such as Power BI, Tableau, or similar platforms.
  • Strong problem-solving and analytical skills.
  • Ability to communicate technical concepts to non-technical stakeholders.

Preferred Qualifications:

  • Master’s degree in related field
  • Experience in higher education
  • Experience with modern data transformation frameworks (e.g., dbt or similar tools).
  • Experience working in cloud-based data platforms or data lake environments.
  • Familiarity with medallion architecture or layered data modeling approaches.
  • Experience supporting predictive analytics or machine learning pipelines.
  • Experience working with higher education data (student information systems, learning management systems, advising platforms).
  • Knowledge of student success analytics, institutional research, or learning analytics.

Knowledge, Skills, and Abilities:

  • Strong SQL and data transformation skills.
  • Understanding of data modeling for analytics.
  • Ability to translate analytical questions into scalable data solutions.
  • Strong documentation and data governance practices.
  • Ability to collaborate across technical and non-technical teams.
  • Interest in applying analytics to improve student success and institutional outcomes.
  • Effective communication skills and comfort working with different teams within the organization.
  • Ability to accept and give constructive feedback.
  • Ability to communicate effectively and work with a broad range of diverse people, ability, culture, and ethnic background, to maintain good working relationships across the university.

Along with the online application, please attach:

  1. Resume to be uploaded at the beginning of your application in the Candidate Profile under “Resume/CV” 
  2. Cover letter to be typed/pasted at the end of your application 

**Document size may not exceed 10 MB.**


Minimum $70,000, commensurate with experience plus excellent benefits

Employees work indoors and are protected from weather and/or contaminants, but not, necessarily, occasional temperature changes. The employee is regularly required to sit and often uses repetitive hand motions.


The Office of Data and Analytics delivers data-informed decision-support to enhance the USU experience. Lead by the new Chief Data and Analytics Officer, USU is investing in data and analytics as a leap-ahead initiative. This position is part of the new data and analytics strategy to drive innovation and create value for students and the communities we serve.


Founded in 1888, Utah State University is Utah’s premier land-grant, public service university. As an R1 research institution, Utah State is dedicated to advancing knowledge and serving the public good through innovative research and scholarly activities that are grounded in reciprocal engagement with local, regional, and global communities. USU prepares students to be active, civically engaged leaders who are prepared to address critical societal challenges. Dedicated to providing a high-quality and affordable education, USU remains a leader in research, discovery, and public impact.

USU enrolls over 29,800 students, both online and in person at locations throughout the state. Utah State’s 30 locations include a main campus in Logan, Utah, residential campuses in Price and Blanding, and six additional statewide campuses, along with education centers serving every county. USU educates students from all 50 states and more than 80 countries. For over 100 years, USU Extension has served and engaged Utahns, serving every county in the state.

Competing at the NCAA Division I level in 16 sports, USU is a proud member of the Pac-12 Conference, officially joining on July 1, 2026. The Aggies capped a historic final season in the Mountain West by capturing nine combined regular-season and tournament titles in 2025–26, with five teams advancing to postseason play. This tradition of excellence extends to the classroom, where 232 student-athletes earned academic honors, and to the community, where USU ranked second nationally in Division I service hours, with nine teams placing in the top 10 for community service.

Utah State is dedicated to fostering a community where all individuals feel respected, valued, and supported and where diversity of thought and culture are cultivated. We seek to recruit, hire, and retain people from all walks of life who will champion excellence in education, research, discovery, outreach, and service. We believe that promoting a strong sense of community and belonging empowers and engages all members of USU to thrive and be successful. Forbes recognized our commitment to employees when they named Utah State the best employer in Utah in 2023. Learn more about USU. 

The university provides a Dual Career Assistance Program to support careers for partners who are also seeking employment. Additionally, USU is committed to providing access and a reasonable accommodation for individuals with disabilities. To request a reasonable accommodation for a disability, contact the university’s ADA Coordinator in the Office of Human Resources at (435) 797-0122 or hr@usu.edu. 

*updated 07/2026


In its programs and activities, including in admissions and employment, Utah State University does not discriminate or tolerate discrimination, including harassment, based on race, color, religion, sex, national origin, age, genetic information, sexual orientation, gender identity, disability, status as a protected veteran, or any other status protected by University policy, Title IX, or any other federal, state, or local law.

Utah State University is an equal opportunity employer and does not discriminate or tolerate discrimination including harassment in employment including in hiring, promotion, transfer, or termination based on race, color, religion, sex, national origin, age, genetic information, sexual orientation, gender identity, disability, status as a protected veteran, or any other status protected by University policy or any other federal, state, or local law.

Utah State University does not discriminate in its housing offerings and will treat all persons fairly and equally without regard to race, color, religion, sex, familial status, disability, national origin, source of income, sexual orientation, or gender identity. Additionally, the University endeavors to provide reasonable accommodations when necessary and to ensure equal access to qualified persons with disabilities.

In all circumstances, Utah State University follows state and federal laws related to sex-segregated spaces.

The following office has been designated to handle inquiries regarding the application of Title IX and its implementing regulations and/or USU’s non-discrimination policies:

Civil Rights & Title IX Office

Old Main Room 405

1475 Old Main Hill, Logan UT 84322

titleix@usu.edu

(435) 797-1266

For further information regarding non-discrimination, please visit crtix.usu.edu or contact:

U.S. Department of Education

Denver Regional Office

303-844-5695| OCR.Denver@ed.gov

U.S. Department of Education

Office of Assistant Secretary for Civil Rights

800-421-3481 |  OCR@ed.gov

*updated 08/2026


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