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Data Engineer Jobs in Logan, UT (NOW HIRING)

Space Dynamics Laboratory

Electrical Engineer

Logan, UT · On-site

$90K - $1M/yr

Our expertise in satellites, sensors and instruments, ground systems and data processing, and ... Join our team of engineers, scientists, technicians, and business professionals in our seventh ...

New

Varsity Tutors

Data Science Tutor

Logan, UT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

KBR

Quality Engineer

Logan, UT · On-site

$62K - $80K/yr

Quality Engineer BELONG. CONNECT. GROW. with KBR. Around here, we define the future. We are a ... Support processes for collecting and analyzing data that measures supplier success * Review the ...

Trilon

Engineer-In-Training - Roadway

Logan, UT · On-site

As an Engineer-In-Training for Roadway, you will support various transportation projects. * Support ... Manage project data files from various sources * Be proactive and responsive in effectively ...

Bespoke Labs

Machine Learning Engineer

Logan, UT · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

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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 Aug 13, 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 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 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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
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 August 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.

Guidance Navigation and Controls (GNC) Engineer III - Project Based

Autonomous Solutions

Mendon, UT • On-site

$109K - $144K/yr

Temporary

Medical, Retirement, PTO

Re-posted 15 days ago

Job description

This is a project-based employee role supporting the development, integration, and validation of ASI's autonomous agricultural vehicle platforms. Development phases of this nature typically continue through project completion, often spanning two to four years, although scope and duration are determined by business and customer needs.
JOB SUMMARY
The Guidance, Navigation, and Controls Engineer III develops, integrates, and validates algorithms that enable ASI's autonomous agricultural equipment to navigate fields, follow planned routes, maintain stable vehicle control, and complete assigned operations safely and accurately. This role works with vehicle dynamics, localization, state estimation, trajectory planning, path tracking, and feedback-control systems to support reliable autonomous operation in agricultural environments.
As a Level III engineer within ASI's five-level engineering structure, this position independently contributes to moderately complex GNC features and subsystem improvements while receiving guidance on broader architectural and system-level decisions. The role collaborates with perception, embedded software, systems, test, and field operations teams to improve autonomous equipment performance across changing terrain, vegetation, field conditions, weather, payloads, and agricultural workflows.
ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Develop, implement, integrate, and validate guidance, navigation, and control algorithms for autonomous agricultural equipment
  • Contribute to vehicle motion-control capabilities involving steering, propulsion, braking, speed control, path tracking, and trajectory following
  • Develop and tune feedback-control algorithms to improve vehicle stability, accuracy, responsiveness, and operational performance
  • Support navigation capabilities that allow autonomous equipment to move safely and efficiently through fields, headlands, access roads, and defined work areas
  • Develop and improve localization and state-estimation solutions using GPS/GNSS, RTK positioning, inertial sensors, encoders, odometry, and vehicle feedback
  • Contribute to trajectory-generation, route-planning, and path-planning solutions for agricultural operations
  • Support capabilities involving field coverage, row following, headland turns, pass planning, overlap management, and work-area completion
  • Support coordination between vehicle motion, attached implements, perception outputs, and task-planning software
  • Own defined GNC features and moderately complex assignments from development through integration, testing, and field validation
  • Develop and refine vehicle-dynamics and system-behavior models to support controller design, simulation, and performance analysis
  • Tune control parameters on physical equipment across varying terrain, speed, payload, soil, traction, and operating conditions
  • Evaluate GNC performance using simulation, recorded-data replay, software-in-the-loop testing, hardware-in-the-loop testing, and full-vehicle field testing
  • Develop measurable performance criteria for assigned features, including path accuracy, tracking error, localization accuracy, stability, response time, and task completion
  • Analyze vehicle logs and field data to identify control limitations, localization errors, unstable behavior, and operational edge cases
  • Develop tools and scripts for simulation, data processing, visualization, automated testing, controller tuning, and performance analysis
  • Troubleshoot issues involving vehicle control, localization, sensor timing, coordinate transformations, communication interfaces, and system integration
  • Collaborate with perception engineers to ensure terrain, obstacle, vegetation, and boundary information supports safe navigation and control decisions
  • Work with embedded software engineers to integrate GNC algorithms into real-time vehicle-control and computing systems
  • Partner with test engineers and field testers to develop procedures, reproduce issues, and validate corrective actions
  • Participate in design reviews, code reviews, sprint planning, and technical investigations
  • Document algorithms, mathematical models, software interfaces, assumptions, test results, technical decisions, and known system limitations
  • Support field deployments, customer demonstrations, and troubleshooting activities as required

ESSENTIAL EDUCATION, WORK EXPERIENCE, JOB SKILLS
  • Bachelor's degree in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Robotics, Computer Engineering, Computer Science, or a related technical field
  • Typically five or more years of experience developing controls, navigation, robotics, vehicle-dynamics, state-estimation, or autonomous-system software
  • Strong understanding of classical and modern control theory, including feedback control, PID control, system dynamics, and stability
  • Experience developing and tuning control algorithms on physical robotic, automotive, agricultural, aerospace, industrial, or heavy-equipment systems
  • Experience with localization, navigation, trajectory generation, path tracking, route planning, or state estimation
  • Proficiency in C++, Python, MATLAB/Simulink, or comparable engineering and software-development tools
  • Experience developing software in Linux-based environments
  • Familiarity with ROS, ROS2, or comparable robotics middleware
  • Understanding of coordinate systems, transformations, vehicle kinematics, and vehicle dynamics
  • Experience using simulation, recorded data, and physical testing to evaluate algorithm and system performance
  • Experience developing production-quality software using version control, peer review, automated testing, and continuous integration practices
  • Ability to analyze complex system behavior and troubleshoot software, sensor, vehicle, and system-integration issues
  • Strong mathematical, analytical, debugging, and technical problem-solving skills
  • Strong written and verbal communication skills
  • Ability to work effectively with cross-functional engineering and field teams

PREFERRED QUALIFICATIONS
  • Master's degree in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Robotics, Controls, or a related discipline
  • Experience developing GNC systems for autonomous agricultural equipment, off-road vehicles, heavy machinery, or mobile robots
  • Familiarity with agricultural operations such as planting, spraying, tillage, harvesting, mowing, material application, or field preparation
  • Experience with field coverage planning, row following, headland-turn planning, route optimization, or coordinated vehicle-and-implement control
  • Experience with model-based design, system identification, controller tuning, or vehicle-dynamics modeling
  • Experience with Kalman filters, extended Kalman filters, particle filters, or other state-estimation methods
  • Experience with GNSS, RTK positioning, IMUs, encoders, odometry, and multi-sensor localization
  • Familiarity with model predictive control, optimization-based control, trajectory optimization, or motion planning
  • Experience integrating algorithms with vehicle-control units, embedded controllers, CAN networks, drive-by-wire systems, or agricultural equipment interfaces
  • Experience with MATLAB/Simulink, C++, Python, Gazebo, or similar simulation and development tools
  • Experience with software-in-the-loop, hardware-in-the-loop, and recorded-data replay testing
  • Familiarity with functional safety concepts and validation practices for autonomous or safety-critical systems
  • Experience validating control systems in dusty, high-vibration, uneven, outdoor, agricultural, or industrial environments

BENEFITS
ASI offers a comprehensive benefits package, including:
  • 401k with employer match
  • Generous HSA contribution
  • PTO, paid holidays, and flextime
  • ASI covers 90% of employee medical plan costs

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 nondiscrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.
This is a full-time, project-based employment opportunity. Your employment with ASI will be "at will," meaning that either you or ASI may terminate your employment at any time for any lawful reason, with or without cause or advance notice.

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