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Remote Data Engineer Jobs in Spanish Fork, UT (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Provo, UT · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

Strong Tower Partners

Regression Tester

Orem, UT · On-site +1

$110K - $130K/yr

You will collaborate closely with developers and QA engineers to maintain platform stability ... Ensure testing aligns with compliance and security standards for client and candidate data.

Podium

Senior AI Engineer - Agentic

Lehi, UT · On-site +1

$98K - $134K/yr

Prototype rapidly, iterate with live interaction data, and continuously improve system performance ... Collaborate with engineers, product managers, and AI/ML scientists to deliver end-to-end features ...

RainFocus

UI Developer (Remote)

Lehi, UT · On-site +1

$47 - $61/hr

About the Role As a UI Developer, you will be a key member of our team responsible for implementing ... If you would like more information about how your data is processed, please contact us.

RainFocus

UI Developer (Remote)

Lehi, UT · Remote

$51.25 - $66.50/hr

About the Role As a UI Developer, you will be a key member of our team responsible for implementing ... If you would like more information about how your data is processed, please contact us.

Podium

Senior AI Engineer - Agentic

Lehi, UT · On-site +1

$98K - $134K/yr

Prototype rapidly, iterate with live interaction data, and continuously improve system performance ... Collaborate with engineers, product managers, and AI/ML scientists to deliver end-to-end features ...

NetDocuments

Senior Software Engineer - Next-Gen

Lehi, UT · On-site +1

$140K - $155K/yr

Strong understanding of software design principles, object-oriented programming, data structures, and algorithms What Will Make You Stand Out * Experience building highly scalable SaaS applications

BambooHR

Information Security Architect

Draper, UT · Remote

This is a remote position available in the state listed on this job. Additionally, employment with ... Partner with Security Engineering, Application Security, Security Operations, and GRC to ensure ...

Nearmap

Revenue Systems Administrator

Lehi, UT · On-site +1

... based engineering team on larger initiatives. You'll coordinate handoffs with fellow admins so ... While we are open to remote candidates within the continental United States, we have a strong ...

Nearmap

Revenue Systems Administrator

Lehi, UT · On-site +1

... based engineering team on larger initiatives. You'll coordinate handoffs with fellow admins so ... While we are open to remote candidates within the continental United States, we have a strong ...

BambooHR

Principal Software Architect

Draper, UT · Remote

This is a remote position available in the state listed on this job. Additionally, employment with ... Looking for a role where you can engineer and architect a product but still have a life outside of ...

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Showing results 21-40

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Spanish Fork, UT

Remote Data Engineer information

See Spanish Fork, UT salary details

$40.2K

$117.1K

$160.2K

How much do remote data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote data engineer in Spanish Fork, UT is $117,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,300.00 and $124,100.00 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 Spanish Fork, UT?

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

What job categories do people searching Remote Data Engineer jobs in Spanish Fork, UT look for?

The top searched job categories for Remote Data Engineer jobs in Spanish Fork, UT are:

What cities near Spanish Fork, UT are hiring for Remote Data Engineer jobs?

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Spanish Fork, UT as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,079 per year, or $56.3 per hour.

Bioinformatics Software Engineer

micro1 AI

Provo, UT • Remote

$80 - $110/hr

Part-time

Posted 21 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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