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

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$144K - $233K/yr

Build scalable data preparation, curation, filtering, and synthetic data pipelines to support model ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

Senior Staff Agentic AI Engineer

Draper, UT · On-site +1

$99K - $134K/yr

PCI and data protection familiarity and 4+ years of experience in implementing IaC (Terraform or ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Staff Corporate Security Engineer

Lehi, UT · On-site +1

$170K - $278K/yr

Entrata's platform processes sensitive operational data across thousands of property management ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

Staff Corporate Security Engineer

Lehi, UT · On-site +1

$170K - $278K/yr

Entrata's platform processes sensitive operational data across thousands of property management ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

Business Intelligence Developer

Sandy, UT · On-site +1

$80K - $120K/yr

PL-300 Microsoft Power BI Data Analyst Associate * Certification: DP-600 Microsoft Fabric Analytics Engineer Associate Preferred Skills (not required): * Experience with external tools such as ...

This is a remote position available in the state listed on this job. Additionally, employment with ... data model, policy evaluation engine, enforcement APIs, and token contract * Refine and Define ...

Principal Value Engineer

American Fork, UT · On-site +1

$171K - $229K/yr

This role can be remote, with regular travel required (typically under 25%) to partner with account ... Deliver strategic data and insights on value realization to senior leadership to help optimize ...

Gaming Software Engineer: 25-05356

Lehi, UT · On-site +1

$101.34 - $105.63/hr

Remote as per CST time zone (Lehi, UT, US) Pay Range: $101.34 - $105.63 per hour on w-2 Job Summary ... We are looking for a highly professional and self-motivated engineer to help us achieve our ...

Sr Software Engineer - REMOTE

Lehi, UT · Remote

$115K - $151K/yr

Software engineers must be skilled in development, writing code, and documenting functionality. * Executing full life-cycle software development * Writing well designed, testable, efficient code

Leverage ai, testing, data, customer feedback, and intuition to make confidence changes that impact ... What To Know Work environment Remote team members must have a private and quiet area for working ...

Senior Software Engineer

Provo, UT · On-site +1

$120K - $140K/yr

With a remote or in office work environment and a schedule of Monday through Friday, 8 a.m. to 5 p ... As a Software Engineer on our team, you'll use your deep expertise in SQL, C#, Typescript ...

Senior Mining Engineer

Sandy, UT · On-site +1

$99K - $136K/yr

... to remote locations * Strong network with mining clients is considered a strong asset ... leader in engineering and consultancy across energy and the built environment, helping to unlock ...

Senior Software Engineer

Provo, UT · Remote

$120K - $140K/yr

With a remote or in office work environment and a schedule of Monday through Friday, 8 a.m. to 5 p ... As a Software Engineer on our team, you'll use your deep expertise in SQL, C#, Typescript ...

Showing results 21-40

Remote Data Engineer information

See Provo, UT salary details

$42.6K

$124.2K

$169.9K

How much do remote data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote data engineer in Provo, UT is $124,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,600.00 and $131,600.00 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.

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

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

What are popular job titles related to Remote Data Engineer jobs in Provo, UT?

For Remote Data Engineer jobs in Provo, UT, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Remote Data Engineer job openings in Provo, 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 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,707 per year, or $59 per hour.

Senior Machine Learning Engineer

Entrata

Lehi, UT • On-site, Remote

$144K - $233K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago


Entrata rating

7.9

Company rating: 7.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

130th of 247 rated software companies


Job description

Since 2003, Entrata has evolved from a visionary, student-led startup into a global leader in AI-driven property management technology. Today, we power the industry's most essential operating system, serving owners and residents worldwide through a comprehensive suite of intelligent leasing, payment, and communication tools powered by cutting-edge AI. With a proven track record of sustained growth and a global team of more than 2,200 employees, we offer the rare combination of established stability and high-velocity innovation. Recognized by the Silicon Slopes Hall of Fame and the Utah Business Fast 50, Entrata fosters a culture of radical transparency and entrepreneurial energy. At Entrata, we create an environment where different perspectives are valued and respected. Those perspectives challenge assumptions, strengthen our decisions, and raise the bar as we reshape the global living experience through AI-powered solutions.

We are seeking a Senior Machine Learning Engineer to help build and scale Entrata’s applied AI capabilities. This role will focus on adapting and fine-tuning foundation models for property management use cases, building reliable model training and evaluation pipelines, and deploying AI systems into production.

Responsibilities
  • Fine-tune and adapt large language models for Entrata-specific use cases using supervised fine-tuning and other post-training techniques.
  • Build scalable data preparation, curation, filtering, and synthetic data pipelines to support model training and evaluation.
  • Develop agentic AI systems that can reason across multi-step workflows, use tools, retrieve context, and operate reliably in production.
  • Build evaluation frameworks and benchmarks to measure model quality, safety, reliability, and task performance.
  • Optimize model inference, serving, and deployment for performance, cost, and scalability.
  • Partner with engineering, product, and data teams to integrate AI capabilities into Entrata products and workflows.
  • Help establish best practices for model experimentation, fine-tuning, evaluation, and deployment.
Minimum Qualifications
  • 5+ years of software engineering or machine learning engineering experience.
  • Hands-on experience fine-tuning, adapting, or deploying large language models.
  • Strong proficiency with Python and PyTorch or similar deep learning frameworks.
  • Experience building ML data pipelines, training workflows, and evaluation systems.
  • Experience deploying machine learning models into production environments.
  • Familiarity with modern LLM tooling, model serving, and inference frameworks.
  • Strong understanding of machine learning fundamentals and model performance tradeoffs.
Preferred Qualifications
  • Experience with supervised fine-tuning, preference optimization, or related post-training techniques.
  • Experience building agentic systems, tool-using models, or retrieval-based AI applications.
  • Experience with distributed training or GPU-based model workloads.
  • Familiarity with frameworks such as vLLM, DeepSpeed, FSDP, or similar technologies.
  • Experience working with enterprise or domain-specific AI applications.
  • Bachelor’s or advanced degree in Computer Science, Machine Learning, Engineering, or a related field, or equivalent practical experience.
This band covers the full salary range for the role. Your offer within this range will depend on factors like experience, skills, and internal equity.
 
Level - P4
Benefits:
Flexible and transparent culture with remote and hybrid work options, generous vacation time, and frequent company recharge days for work-life balance.

Comprehensive medical, dental, and vision coverage, including fertility benefits, available for eligible employees and their families.

HSA/FSA options and employer-paid disability benefits provided for eligible employees.

Access to 401(k) or similar retirement plans with employer matching for eligible employees, ensuring long-term financial security.

Wellness initiatives promoting physical and mental well-being, access to an onsite gym at HQ, gym memberships, mental health resources, wellness challenges, and employee assistance programs.

Entrata Cares programs offers opportunities for volunteerism, charity events, and giving back to our community.

Exclusive Previ cell phone plan and discounts on services or local business partnerships for additional employee benefits.

Bi-annual swag drops for employees

Currently, Entrata hires in Arizona, Idaho, Utah, Wyoming, Texas, North Carolina, Florida, Georgia, South Carolina, Ohio, Pennsylvania, and Illinois for Exempt roles and Arizona, Idaho, Utah, Wyoming, Texas, North Carolina, and Florida for Non-Exempt roles. 

Entrata is dedicated to creating a workplace where a diverse and inclusive team thrives in an environment free from discrimination. We provide equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status, or any other applicable characteristics protected by law.

It’s a great place to work! Will you join us?

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.


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