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Remote Data Engineer Jobs in Logan, UT (NOW HIRING)

Infotech Sourcing

Design Engineer V

Logan, UT · On-site +1

US - UT - Remote (144200) Job Title: Core Engineering - Design Engineer V PCB Layout Engineer, AR ... Create and modify engineering tool project templates, meta-data, configuration data, and rules.

Workiva

Spring 2027 Intern - Data Analytics

Logan, UT · On-site +1

$22/hr

This internship is primarily a remote opportunity. However, if you are located near one of our ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

New

Varsity Tutors

Python Tutor

Logan, UT · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Logan, UT

Remote Data Engineer information

See Logan, UT salary details

$38.4K

$111.9K

$153.1K

How much do remote data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote 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 remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote 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 cities near Logan, UT are hiring for Remote Data Engineer jobs?

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Logan, UT as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $111,893 per year, or $53.8 per hour.

Design Engineer V

Infotech Sourcing

Logan, UT • On-site, Remote

Full-time

Re-posted 15 days ago

Job description

Request ID: 71044-1
Start/End Dates: 7/20/2026 - 12/25/2026
Tax Work Location: US - UT - Remote (144200)
Job Title: Core Engineering - Design Engineer V
Job Description: PCB Layout Engineer, AR Product Team
As a PCB Layout Engineer on Meta’s AR Product Team, you will be responsible for driving world-class, complex PCB layouts that incorporate cutting-edge component and stack-up technologies. A core focus of this role is implementing miniaturization solutions within AR product designs. You will collaborate closely with internal electrical and mechanical engineers, DFM, SiPi, and other layout and library teams, as well as external suppliers.
RESPONSIBILITIES
Project Management & Execution:
Manage multiple complex layout projects, providing timely status reports within Meta systems.
Lead designs from kick-off through tape-out, encompassing rigid, rigid-flex, and flex PCBs for both product and non-product/test projects.
Proactively schedule and drive project meetings (Kick-off, Placement, Constraint, and Design Reviews) to ensure design verification using Meta's Design Traveler document.
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, particularly for power distribution, high-speed circuits, and RF signals.
Identify project execution risks or slowdowns proactively and collaborate with managers and/or technical program managers to propose alternative PCB development workflow solutions.
Understand and propose practical fit and function solutions related to miniaturization concepts.
Cross-Functional Collaboration & Supplier Engagement:
Proactively partner with EE Leads, Mechanical Engineering, TPMs, and other cross-functional teams (XFNs) to resolve design issues.
Work with internal DFM engineers to confirm supplier requirements at project launch.
Engage with external suppliers and Supplier Quality/Process Engineering (SQE/PE) to resolve DFM issues and ensure high-yield builds.
MINIMUM QUALIFICATIONS
8+ years of experience in complex PCB Design.
5+ years of experience using Allegro PCB Design Tools (version 23.1 or newer).
Strong understanding of the mechanical aspects of electronics design.
Excellent communication skills.
Proficiency with Microsoft Office tools.
PREFERRED QUALIFICATIONS
BS in Electrical Engineering.
3+ years of experience implementing miniaturization solutions in dense form-factor designs (e.g., wearable products, mobile phone design).

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