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Remote Databricks Data Engineer Jobs in Orem, UT

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 ...

Device Experience Platform Engineer - NexthinkJob Summary The Device Experience Platform Engineer ... Own platform health, data quality, and reliability. Establish standards and protocols. Digital ...

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 ...

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 ...

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 ...

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 ...

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

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.

Showing results 21-40

Remote Databricks Data Engineer information

See Orem, UT salary details

$38.7K

$112.8K

$154.3K

How much do remote databricks data engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for remote databricks data engineer in Orem, UT is $112,772.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $119,500.00 per year, depending on experience, location, and employer.

What is a remote Databricks data engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are the key skills and qualifications needed to thrive as a remote Databricks data engineer?

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What are some common challenges faced by remote Databricks data engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.

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

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

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

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

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

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

Senior Machine Learning Engineer

Lehi, UT • On-site, Remote

Entrata
Software Development • 1 - 5K employees

$144K - $233K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago


Entrata rating

7.9

Company rating: 7.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


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.

Following the launch of Forge, Entrata’s proprietary AI platform, we are looking for a Senior Machine Learning Engineer to drive the next generation of our applied AI capabilities. You will play a central role in fine-tuning Forge, optimizing domain-specific foundation models, and engineering robust ML pipelines that power intelligent automation for millions of residents and property managers worldwide.

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.
  • Willingness to travel to client sites as needed.
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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