ZipRecruiter

Log In

1

Data Engineer Jobs in Logan, UT (NOW HIRING)

Autonomous Solutions

AI Infrastructure Engineer IV

Mendon, UT · On-site

$93K - $122K/yr

Working closely with data scientists, robotics engineers, and software teams, you'll develop robust infrastructure that supports the deployment and reliability of our AI-driven autonomous systems.

Autoliv United States

Test Engineer

Brigham City, UT · On-site

Test Engineer The Test Engineer role is essential to ensuring product quality, reliability, and ... Data analysis to identify trends, root causes, and improvement opportunities * Collaboration with ...

Schreiber Foods, Inc.

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 ...

Autonomous Solutions

AI Infrastructure Engineer IV

Mendon, UT · On-site

$93K - $122K/yr

Working closely with data scientists, robotics engineers, and software teams, you'll develop robust infrastructure that supports the deployment and reliability of our AI-driven autonomous systems.

Schreiber Foods, Inc.

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 ...

Schreiber Foods, Inc.

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 ...

Schreiber Foods

Senior Manufacturing Engineer

Logan, UT

$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 ...

Danaher

Quality Systems Engineer

Logan, UT · On-site

We are seeking a Quality Systems Engineer who will play a key role in strengthening our digital ... Ensure data integrity and accuracy by transferring validated Master Data from test environments ...

Autoliv United States

Test Engineer

Brigham City, UT

Test Engineer The Test Engineer role is essential to ensuring product quality, reliability, and ... Data analysis to identify trends, root causes, and improvement opportunities * Collaboration with ...

previous pagenext page

Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Logan, UT

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 Jul 26, 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

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.

What are Data Engineers?

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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
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 are popular job titles related to Data Engineer jobs in Logan, UT? For Data Engineer jobs in Logan, UT, the most frequently searched job titles are:
What cities near Logan, UT are hiring for Data Engineer jobs? Cities near Logan, UT with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Logan, UT as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $111,893 per year, or $53.8 per hour.
AI Infrastructure Engineer IV

AI Infrastructure Engineer IV

Autonomous Solutions

Mendon, UT • On-site

$93K - $122K/yr

Full-time

Posted 8 days ago

Job description

At ASI, we are revolutionizing industries with state-of-the-art autonomous robotics solutions. Within the fields of agriculture, construction, landscaping, and logistics, we deliver technologies that enhance safety, productivity, and efficiency. With our core values of Simplicity, Safety, Transparency, Humility, Attention to Detail and Growth guiding everything we do, we're shaping the future of automation in dynamic markets.
As an AI Infrastructure Engineer IV, you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our compute, storage, and cloud environments are scalable, efficient, and tuned for high-performance AI workloads. Working closely with data scientists, robotics engineers, and software teams, you'll develop robust infrastructure that supports the deployment and reliability of our AI-driven autonomous systems.
Responsibilities:
  • Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage, and networking to support AI and ML workloads.
  • Deploy and manage AI systems within cloud environments (AWS, Azure, GCP), ensuring scalability, cost-efficiency, and high availability.
  • Collaborate with data scientists, ML engineers, and software teams to support AI model development, training, and deployment workflows.
  • Implement automation, CI/CD, DevOps, and MLOps practices to create efficient, repeatable, and reliable AI infrastructure processes.
  • Optimize compute and storage systems to achieve maximum performance and throughput for AI/ML pipelines.
  • Monitor system health and troubleshoot performance bottlenecks, infrastructure issues, and deployment challenges.

Required Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
  • 8+ years of experience in cloud infrastructure, DevOps, or platform engineering with 3+ years working on AI/ML systems.
  • Strong understanding of modern AI infrastructure components, including distributed computing, GPU-accelerated systems, and large-scale storage.
  • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Proficiency with Kubernetes, Docker, Terraform, or similar containerization and orchestration tools.
  • Strong programming skills in Python and/or C++, with experience supporting machine learning frameworks (TensorFlow, PyTorch, etc.).
  • Experience implementing CI/CD pipelines, MLOps practices, and automation tooling.

At Autonomous Solutions, Inc. (ASI), we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding non-discrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.

Apply