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Cloud Factory Jobs in Utah (NOW HIRING)

Pwc

Data Engineer - Manager

Salt Lake City, UT · On-site

... Cloud Storage etc. - Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services ...

Alarm.com

Sales Engineer

Salt Lake City, UT · On-site

$80K - $110K/yr

OpenEye, an innovator in the design and development of cloud-centric software solutions for ... Create and maintain pre-sales engineering documentation and factory pre-configuration documentation.

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How much do cloud factory jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for cloud factory in Utah is $57.25, according to ZipRecruiter salary data. Most workers in this role earn between $48.80 and $65.19 per hour, depending on experience, location, and employer.

What is a Cloud Factory?

A Cloud Factory job typically involves managing cloud-based infrastructure and automation processes to support digital transformation. It may include responsibilities like configuring cloud environments, optimizing cloud operations, and ensuring system scalability. Professionals in this role often work with platforms like AWS, Azure, or Google Cloud to deploy and maintain cloud solutions.

What does a Cloud Factory do?

Professionals in a Cloud Factory position are usually responsible for deploying, managing, and optimizing cloud-based environments to support various business applications. Daily tasks often include automating infrastructure provisioning, monitoring system performance, resolving incidents, and collaborating with development and operations teams to ensure smooth workflows. You'll also participate in implementing security best practices and updating documentation to reflect changes in cloud architecture. This role frequently involves balancing multiple priorities and working in a dynamic, fast-evolving technological landscape.

What are the key skills and qualifications needed to thrive in the Cloud Factory position, and why are they important?

To thrive in a Cloud Factory role, you typically need expertise in cloud computing platforms (such as AWS, Azure, or Google Cloud), infrastructure automation, and systems administration, as well as a relevant degree in computer science or a related field. Familiarity with tools like Terraform, Kubernetes, Docker, and CI/CD pipelines—along with certifications in major cloud technologies—is highly beneficial. Strong problem-solving abilities, effective communication, and collaborative teamwork are critical soft skills in this field. These qualifications are vital for ensuring reliable cloud operations, seamless deployments, and effective collaboration with cross-functional teams in dynamic cloud environments.

What skills are needed for Cloud Factory?

Cloud Factory roles typically require skills in cloud computing platforms such as AWS, Azure, or Google Cloud, along with proficiency in data processing, automation, and scripting languages like Python or Bash. Strong problem-solving abilities, understanding of data pipelines, and familiarity with DevOps practices are also important for success in this environment.

What are popular job titles related to Cloud Factory jobs in Utah?

For Cloud Factory jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Cloud Factory jobs in Utah look for?

The top searched job categories for Cloud Factory jobs in Utah are:

Cloud Factory jobs near you
Infographic showing various Cloud Factory job openings in Utah as of August 2026, with employment types broken down into 82% Full Time, 12% Part Time, and 6% Contract. Highlights an 76% Physical, 8% Hybrid, and 16% Remote job distribution, with an average salary of $119,079 per year, or $57.2 per hour.

Senior Data Engineer (Databricks & Cloud Analytics

Judge Group, Inc.

Salt Lake City, UT • On-site

$60 - $65/hr

Other

Re-posted 6 hours ago

Job description

Location: Salt Lake City, UT Salary: $60.00 USD Hourly - $65.00 USD Hourly Description:
About the Role
We are seeking an experienced Senior Data Engineer to design, develop, and support enterprise-scale data solutions that enable analytics, reporting, and business decision-making. In this role, you will collaborate with solution architects, business analysts, data scientists, and stakeholders to build scalable cloud-based data platforms and high-performance data pipelines using modern data engineering technologies. The position requires expertise in Databricks, Apache Spark, cloud analytics platforms, and enterprise data integration within an Agile development environment.
Responsibilities
  • Design, develop, test, deploy, and maintain enterprise data engineering solutions using cloud and big data technologies.
  • Design and implement scalable ETL/ELT pipelines utilizing Databricks, Apache Spark (PySpark), Delta Lake, and Azure Data Factory.
  • Build and maintain high-performance data ingestion, transformation, and integration frameworks for analytics and reporting.
  • Develop, optimize, and maintain complex SQL queries, stored procedures, and data transformation processes.
  • Design and implement scalable data models supporting business intelligence, analytics, and AI initiatives.
  • Build and integrate RESTful APIs, event-driven architectures, and SOAP-based services to support enterprise data exchange.
  • Develop and maintain streaming and messaging solutions using Apache Kafka.
  • Monitor, troubleshoot, and optimize production data pipelines, perform root cause analysis, and implement long-term solutions.
  • Apply data quality, governance, security, and performance best practices across data platforms.
  • Manage source code using Git and follow CI/CD and DevOps practices.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Participate in Agile ceremonies including sprint planning, backlog refinement, architecture discussions, code reviews, and retrospectives.
  • Create technical documentation, deployment artifacts, testing documentation, and operational runbooks.
  • Mentor junior engineers and contribute to engineering standards, best practices, and continuous improvement initiatives.

Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline, or equivalent professional experience.
  • 6+ years of experience designing, developing, and supporting enterprise data platforms, cloud analytics solutions, or large-scale data engineering initiatives.
  • Strong hands-on experience with:
    • Databricks, Apache Spark (PySpark), Python, SQL, Scala
  • Experience with the Databricks ecosystem, including:
    • Databricks Workspaces, Delta Lake, Unity Catalog, Delta Live Tables (DLT), Databricks SQL, MLflow, Databricks Jobs
  • Strong SQL development skills, including query optimization and performance tuning.
  • Experience designing and implementing ETL/ELT solutions using Azure Data Factory or similar cloud integration platforms.
  • Experience with Apache Kafka or other event streaming technologies.
  • Experience integrating enterprise applications using REST APIs, JSON, XML, and SOAP web services.
  • Experience with Azure Data Lake Storage (ADLS Gen2) or comparable cloud storage platforms.
  • Experience using Git for source code management and collaborative software development.
  • Experience working in Linux environments, including shell scripting and command-line utilities.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Experience working in Agile environments utilizing Scrum, Kanban, or SAFe methodologies.
  • Demonstrated ability to manage multiple priorities while delivering high-quality solutions.
  • Proven ability to work independently while mentoring team members and contributing to technical leadership.
  • Ability to communicate complex technical concepts to both technical and non-technical audiences.
  • Ability to collaborate effectively with cross-functional teams and stakeholders.

Preferred Skills
  • Infrastructure as Code (IaC) tools such as Terraform.
  • CI/CD pipeline implementation using Azure DevOps, GitHub Actions, or similar platforms.
  • Microsoft Azure cloud services.
  • Azure Synapse Analytics.
  • Microsoft Fabric.
  • Power BI.
  • Data governance and metadata management.
  • DataOps and MLOps practices.
  • Enterprise data warehousing.
  • Master Data Management (MDM).
  • Experience working with financial services or public sector data environments.

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Contact:
This job and many more are available through The Judge Group. Please apply with us today!

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