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Remote Databricks Data Engineer Jobs in Orem, UT

Data Architect

Draper, UT · On-site +1

$140K - $200K/yr

You'll collaborate with data engineers, developers, and architects to design and implement modern ... Stay ahead of Microsoft's evolving Data & AI platform (Azure, Fabric, Databricks, Synapse, SQL ...

Remote Operations Engineer

Sandy, UT · On-site +1

$66K - $89K/yr

United States - UT - Sandy Remote Operations Engineer Full-Time, Permanent Sandy, UT (In-person ... Ability to read and interpret electronic data to make informed decisions related to processing ...

Lead Data Scientist

Draper, UT · On-site +1

$138K - $272K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Senior Data Analyst - Remote

Draper, UT · On-site +1

$80K - $101K/yr

Leverage Python (e.g., pandas, NumPy) to perform advanced data analysis, automation, validation, and feature engineering, complementing SQL-based workflows and improving analytical efficiency

Senior Sales Engineer - AEC

Draper, UT · Remote

$125K - $140K/yr

SENIOR SOLUTIONS ENGINEER -AEC US REMOTE; RALEIGH, NC, DRAPER, UT EGNYTE YOUR CAREER. SPARK YOUR ... data. When joining Egnyte, you're not just landing a new career, you become part of a team of ...

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 ...

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Remote Databricks Data Engineer information

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$38.7K

$112.8K

$154.3K

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

As of Jul 30, 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 are the key skills and qualifications needed to thrive as a Remote Databricks Data Engineer, and why are they important?

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 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 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 the most commonly searched types of Databricks Data Engineer jobs in Orem, UT? The most popular types of Databricks Data Engineer jobs in Orem, UT are:
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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:

Staff Data Engineer ( Seattle/Provo Hybrid)

Press Ganey

Provo, UT • On-site, Remote

$108K - $130K/yr

Full-time

Re-posted 26 days ago


Press Ganey rating

8.1

Company rating: 8.1 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

103rd of 488 rated business services


Job description

Company Description

Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood.

  • Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.

  • Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.

  • Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.

  • Dare to innovate:We challenge the status quo with creativity and innovation as our true north.

  • Better together:We check our egos at the door. We work together, so we win together.

Press Ganey is committed to providing reasonable accommodations to qualified individuals with disabilities or disabled veterans in the hiring process. If you need assistance or an accommodation to apply for a position online or for your interviews or assessments, please contact us at acommodations@pressganey.comPlease provide your contact information and the details of your request so we can best assist you.

We are seeking an experienced Staff Data Engineer to join our Unified Data Platform team. The ideal candidate will design, develop, and maintain enterprise-scale data infrastructure leveraging Azure and Databricks technologies. This role involves building robust data pipelines, optimizing data workflows, and ensuring data quality and governance across the platform. You will collaborate closely with analytics, data science, and business teams to enable data-driven decision-making.

Duties & Responsibilities:

  • Design, build, and optimizedata pipelinesand workflows inAzureandDatabricks, including Data Lake and SQL Database integrations.
  • Implement scalableETL/ELT frameworksusingAzure Data Factory,Databricks, andSpark.
  • Optimize data structures and queries for performance, reliability, and cost efficiency.
  • Drivedata quality and governance initiatives, including metadata management and validation frameworks.
  • Collaborate with cross-functional teams to define and implementdata modelsaligned with business and analytical requirements.
  • Maintain clear documentation and enforce engineering best practices for reproducibility and maintainability.
  • Ensure adherence tosecurity, compliance, and data privacystandards.
  • Mentor junior engineers and contribute to establishingengineering best practices.
  • SupportCI/CD pipeline developmentfor data workflows using GitLab or Azure DevOps.
  • Partner with data consumers to publish curated datasets into reporting tools such asPower BI.
  • Stay current with advancements inAzure, Databricks, Delta Lake, and data architecture trends.

Technical Skills:

  • Advanced proficiency inAzure 5+ years(Data Lake, ADF, SQL).
  • Strong expertise inDatabricks (5+ years),Apache Spark (5+ years), andDelta Lake (5+ years).
  • Proficient inSQL (10+ years)andPython (5+ years); familiarity withScalais a plus.
  • Strong understanding ofdata modeling,data governance, andmetadata management.
  • Knowledge ofsource control (Git),CI/CD, and modern DevOps practices.
  • Familiarity withPower BIvisualization tool.

Minimum Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, or related field.
  • 7+ yearsof experience in data engineering, with significant hands-on work incloud-based data platforms (Azure).
  • Experience buildingreal-time data pipelinesand streaming frameworks.
  • Strong analytical and problem-solving skills.
  • Proven ability tolead projectsand mentor engineers.
  • Excellent communication and collaboration skills.

Preferred Qualifications:

  • Master's degree in Computer Science, Engineering, or a related field.
  • Exposure tomachine learning integrationwithin data engineering pipelines.

Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $110,000 to $170,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here:https://www.pressganey.com/legal-privacy/


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About Press Ganey

Sourced by ZipRecruiter

Press Ganey pioneered the health care performance improvement movement 35 years ago. Today Press Ganey offers an integrated suite of solutions that enable enterprise transformation across the patient journey. Delivered through a cutting-edge digital platform built on a foundation of data security, Press Ganey solutions address safety, clinical excellence, patient experience, and workforce engagement. The company works with more than 41,000 health care facilities in its mission to reduce patient suffering and enhance caregiver resilience to improve the overall safety, quality, and experience of care.

Industry

Health care and social assistance

Company size

1,001 - 5,000 Employees

Headquarters location

Fort Worth, TX, US

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