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Remote Cloud Data Engineer Jobs in Utah (NOW HIRING)

This is a hands-on senior engineering role for someone who enjoys solving complex real-world ... Exposure to cloud-native systems, AI workflows, and integrations * Flexible, remote-friendly work ...

This position is available as a hybrid or fully remote work schedule. Responsibilities: Solution ... cloud systems. * Lead solution design through to build and implementation; guide developers, data ...

Our platform is cloud-native, security-first, and built by a fully distributed team spread across ... Although position is remote employee will be required to visit data center on a quarterly basis. It ...

Fully Remote - Salt Lake City, UT At Moog Medical Devices Group, we foster an environment where ... Provide technical guidance and mentorship to fellow engineers and project stakeholders. * Utilize ...

Fully Remote - Salt Lake City, UT At Moog Medical Devices Group, we foster an environment where ... Provide technical guidance and mentorship to fellow engineers and project stakeholders. * Utilize ...

Senior Sales Engineer - AEC

Draper, UT · Remote

$125K - $140K/yr

... cloud content security for more than 22,000 organizations, helping customers improve data security ... and remote collaboration. * Solution Design: Prepare and deliver tailored presentations and ...

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

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Cloud Environment * Conjoint Analysis * Agentic AI Reports To : Senior Manager and above Direct ...

Junior Salesforce Developer

Salt Lake City, UT · On-site +1

$53.25 - $70.50/hr

US Based Remote ONLY About the team: Our RevOps team is the engine of our go-to-market strategy ... Work with OmniStudio to build guided processes and data models, specifically within Education Cloud

Techops Engineer -Senior Level

Farmington, UT · Remote

$99K - $136K/yr

Although position is remote employee will be required to visit data center on a quarterly basis. It ... Strong cloud platform mastery (AWS, Azure, or GCP) - you can architect a solution and then build it.

Application Security Engineer

Salt Lake City, UT · On-site +1

$56.75 - $76/hr

... data in transit and at rest. * Evaluate and recommend new security solutions and tools to ... remote device deployment and secure firmware/software delivery. * In-depth knowledge of cloud ...

Senior Software Engineer

Salt Lake City, UT · On-site +1

$152K - $205K/yr

... data sources (SQL or NoSQL), messaging systems and APIs; other duties as assigned. What you'll ... Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc). * Experience with SQL ...

Staff Software Engineer

Salt Lake City, UT · On-site +1

$195K - $257K/yr

... data sources (SQL or NoSQL), messaging systems and APIs; other duties as assigned. What you'll ... Cloud services (AWS, Google Cloud, Microsoft Azure, etc) * Container orchestration systems like ...

Senior Software Engineer

Murray, UT · On-site +1

$115K - $151K/yr

... data, services, and capabilities that feeds and powers other products across the business. We're ... Contribute to technical decisions around cloud infrastructure, service architecture, and system ...

Showing results 21-40

Remote Cloud Data Engineer information

What is a remote cloud data engineer?

A Remote Cloud Data Engineer is a technology professional who designs, builds, and maintains data infrastructure and pipelines in cloud environments, such as AWS, Azure, or Google Cloud, while working from a remote location. They are responsible for ensuring data is efficiently collected, stored, and made accessible for analysis and applications. Their role often involves using tools like SQL, Python, and cloud-based services to manage big data workflows. By working remotely, they collaborate with distributed teams using digital communication and project management tools.

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

To thrive as a Remote Cloud Data Engineer, you need expertise in data engineering, cloud platforms (like AWS, Azure, or Google Cloud), and proficiency in programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with tools like Apache Spark, ETL pipelines, cloud storage solutions, and relevant certifications (e.g., AWS Certified Data Analytics) is highly valued. Strong problem-solving abilities, attention to detail, and effective remote communication skills help you excel in collaborative and distributed work environments. These skills ensure you can design, build, and maintain scalable data solutions that meet business needs efficiently and securely.

How does a remote cloud data engineer typically collaborate with cross-functional teams?

As a Remote Cloud Data Engineer, you will frequently collaborate with data scientists, software engineers, and business analysts to design, build, and optimize cloud-based data solutions. Communication is often facilitated through virtual meetings, collaborative project management tools, and shared documentation platforms. Success in this role depends on your ability to articulate technical concepts clearly to non-technical stakeholders and align your work with broader business objectives. Being proactive in updates and seeking feedback helps ensure smooth coordination and project progress.

What job categories do people searching Remote Cloud Data Engineer jobs in Utah look for?

The top searched job categories for Remote Cloud Data Engineer jobs in Utah are:

What cities in Utah are hiring for Remote Cloud Data Engineer jobs?

Cities in Utah with the most Remote Cloud Data Engineer job openings:

Infographic showing various Remote Cloud Data Engineer job openings in Utah as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 11% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Quality Assurance Engineer (Remote)

MRIoA

Salt Lake City, UT • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

Description
Who We Are - Motivated by Purpose. Powered by Clinical Expertise.
Founded in 1983, we're a clinically-driven, tech-enabled utilization management company offering expert clinical reviews, regulatory guidance, and actionable insights to healthcare organizations.
Excellence starts with our people.
WE OFFER
  • A competitive compensation package
  • Benefits include healthcare, vision, and dental insurance
  • A generous 401(k) match
  • Paid vacation, PTO, and holidays
  • Growth and training opportunities
  • An award-winning remote work environment

POSITION OVERVIEW
Quality Assurance Engineer is a corporate function within the Engineering organization responsible for the quality, reliability, and release-readiness of software products built on modern technologies, including cloud-native applications hosted on Microsoft Azure and AI/ML-enabled features.
Roles:
  • Primary role is testing software applications created or updated by the Application Development team.
  • Conduct structured peer and code reviews of test artifacts to ensure adherence to standards and best practices.
  • Design, create, and maintain realistic and compliant test data sets, including synthetic data for healthcare (PHI-safe) scenarios.
  • Design and execute validation strategies for AI/ML and Retrieval-Augmented Generation (RAG) features, including model quality, grounding, and safety evaluation.

Major Responsibilities or Assigned Duties:
  • Participate in the test management lifecycle, including test planning, execution tracking, defect management and reporting.
  • Provide input on release readiness criteria to Engineering and Product stakeholders.
  • Maintain the regression suite after every release.
  • Develop and maintain automated test suites in Python (e.g., pytest) and JavaScript/Node.js, integrated into CI/CD pipelines.
  • Write and review complex SQL queries, joins, and aggregations to validate data accuracy, completeness, and reconciliation across systems.
  • Validate data flows across source systems, transformation layers, and reporting/consumption layers.
  • Ensure test data supports both functional automation and AI/ML / RAG evaluation needs.
  • Design and execute test strategies for AI/ML and Retrieval-Augmented Generation (RAG) pipelines and AI-assisted features, including retrieval accuracy, grounding, hallucination, output quality, bias/safety, and drift (regression) checks.
  • Build and maintain automated evaluation harnesses and datasets for AI/ML features, including prompt/response scoring and metric tracking.
  • Validate applications, APIs, and test environments deployed on on-prem data center, Microsoft Azure, including Azure-hosted services, data stores, and CI/CD pipelines.
  • Read and interpret React / Node.js / Python / ColdFusion source code, pull requests, and technical designs to identify testable conditions, edge cases, and regression risk.
  • Write detailed test cases and test plans that trace directly to code paths, business rules, and acceptance criteria.
  • Partner with developers during code review to flag insufficient test coverage, untested branches, and high-risk changes before merge.
  • Perform post-deployment validation to confirm application, API, and AI feature stability in production.
  • Investigate production defects and data issues, perform root cause analysis, and drive resolution with Engineering.

Requirements
Skills and Experience:
  • 5+ years of experience in automated software testing
  • 5+ years of experience in manual software testing
  • 5+ years of experience in component-level testing
  • 5+ years of experience in end-to-end testing
  • Proficiency in SQL
  • Proficiency in React
  • Proficiency in Node.js
  • Proficiency in Python source code in GitLab
  • Proficiency in testing Artificial Intelligence (AI)
  • Proficiency in testing Machine Learning (ML)
  • Proficiency in evaluating Artificial Intelligence (AI)
  • Proficiency in evaluating Machine Learning (ML)
  • Proficiency in testing Retrieval-Augmented Generation (RAG)
  • Proficiency in testing generative AI features
  • Proficiency in testing workloads on Microsoft Azure

Education:
  • High School Diploma required
  • Bachelor's degree (Advantage)

Work Environment:
Ability to sit at a desk, utilize a computer, telephone, and other basic office equipment is required. This role is designed to be a remote position (work-from-home).
Diversity Statement:
Diversity creates a healthier atmosphere: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
Drug-Free Workplace:
This company is a drug-free workplace. All candidates are required to pass a Background Screen before beginning employment. All newly hired employees will take a Drug Screen, as well as agreeing to all necessary Compliance Regulations on their first day of employment. Employees are required to adhere to all applicable HIPAA regulations and company policies and procedures regarding the confidentiality, privacy, and security of sensitive health information.
California Consumer Privacy Act (CCPA) Information (California Residents Only):
  • Sensitive Personal Info: MRIoA may collect sensitive personal info such as real name, nickname or alias, postal address, telephone number, email address, Social Security number, signature, online identifier, Internet Protocol address, driver's license number, or state identification card number, and passport number.
  • Data Access and Correction: Applicants can access their data and request corrections. For questions and/or requests to edit, delete, or correct data, please email the Medical Review Institute at HR@mrioa.com.