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Storage Engineer Jobs in Utah (NOW HIRING)

AutoSavvy

Data Engineer

Woods Cross, UT · On-site

$108K - $129K/yr

Data Engineer (Mid-Level) Utah (Local Required) Overview AutoSavvy is a fast-growing automotive ... Work with data across Azure SQL, Blob Storage, and related services * Ensure data quality ...

rPlus Energies

Sr. Power Systems Engineer

Salt Lake City, UT · On-site +1

$101K - $138K/yr

Its portfolio consists of a strategic mix of solar, solar plus battery, wind, and pumped storage ... This role will own the design, engineering and performance capability of utility-scale solar and ...

Neighbor

Senior Software Engineer

Lehi, UT

$115K - $151K/yr

We are looking for legendary engineers. You know the type. When you are at lunch and a story starts ... From storage facilities to neighborhood garages, driveways, and RV spots, Neighbor brings every ...

Neighbor

Senior Software Engineer

Lehi, UT · On-site

$115K - $151K/yr

We are looking for legendary engineers. You know the type. When you are at lunch and a story starts ... From storage facilities to neighborhood garages, driveways, and RV spots, Neighbor brings every ...

Neighbor

Senior Software Engineer

Lehi, UT

$115K - $151K/yr

We are looking for legendary engineers. You know the type. When you are at lunch and a story starts ... From storage facilities to neighborhood garages, driveways, and RV spots, Neighbor brings every ...

Stantec

Sr Geotechnical Engineer

Salt Lake City, UT · On-site

Beyond mining, you will also have opportunities to contribute to water dams, pumped storage, and ... The role is well-suited for an engineer who enjoys combining technical depth with leadership ...

VAST Data

Customer Support Engineer

Lehi, UT · On-site +1

Extensive knowledge and experience in the enterprise IT infrastructure, networking and storage ... Scripting and programming - bash scripting is required; must be familiar with one or more other ...

Zions Bank

Systems Engineer

Midvale, UT · On-site

We are seeking a DevOps Engineer with a strong interest in DevSecOps practices, cloud-native ... Troubleshoot infrastructure issues across storage, networking, load balancers, firewalls, and ...

Zions Bancorporation

Systems Engineer

Midvale, UT · On-site

We are seeking a DevOps Engineer with a strong interest in DevSecOps practices, cloud-native ... Troubleshoot infrastructure issues across storage, networking, load balancers, firewalls, and ...

Water Works Engineers

Mechanical Engineer

Lehi, UT · On-site

... storage, and conveyance of drinking water, recycled water, and wastewater. With offices in ... As a Mechanical Engineer at Water Works Engineers, your contributions are essential to the success ...

Water Works Engineers

Mechanical Engineer

Lehi, UT · On-site

... storage, and conveyance of drinking water, recycled water, and wastewater. With offices in ... As a Mechanical Engineer at Water Works Engineers, your contributions are essential to the success ...

Motorola

Software Engineer

Salt Lake City, UT · Remote

Optimize workloads for constrained CPU, memory, storage, and bandwidth environments * Troubleshoot ... Experience mentoring engineers and leading technical initiatives * Excellent communication and ...

Water Works Engineers LLC

Mechanical Engineer

Lehi, UT · On-site

... storage, and conveyance of drinking water, recycled water, and wastewater. With offices in ... As a Mechanical Engineer at Water Works Engineers, your contributions are essential to the success ...

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Storage Engineer information

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How much do storage engineer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for storage engineer in Utah is $51.17, according to ZipRecruiter salary data. Most workers in this role earn between $42.45 and $60.38 per hour, depending on experience, location, and employer.

What are some common challenges Storage Engineers face when managing large-scale enterprise storage systems?

Storage Engineers often encounter challenges such as ensuring high availability and performance of storage systems, managing data growth efficiently, and maintaining data security and compliance. They must proactively monitor for hardware failures, optimize storage allocation, and coordinate with network and server teams to troubleshoot issues quickly. Adapting to evolving technologies, such as cloud integrations and automation tools, is also crucial for ongoing success in this role.

What Does a Storage Engineer Do?

A storage engineer is an information technology professional who develops and oversees databases, networks, and other systems with large storage capacities. As a storage engineer, your primary responsibilities are to create storage systems and maintain the hardware. You are also responsible for backing up all information and providing ongoing technical service to your clients or employer. Your goal is to create a cost-effective storage system that can handle both a high volume of data and a large number of users. You must understand the specific needs of the client to give them what they need without wasting funds.

What is the difference between Storage Engineer vs Network Engineer?

AspectStorage EngineerNetwork Engineer
CertificationsCompTIA Storage+, Cisco CCNA, vendor-specific storage certificationsCCNA, Cisco CCNP, CompTIA Network+
Work EnvironmentData centers, enterprise storage systems, cloud storage environmentsNetwork infrastructure, data centers, enterprise networks
ResponsibilitiesDesign, implement, and maintain storage solutions; optimize data storage and retrievalDesign, implement, and troubleshoot network systems; ensure network security and performance

While both roles work within data centers and require technical certifications, Storage Engineers focus on data storage solutions and management, whereas Network Engineers specialize in network infrastructure and connectivity. Both roles are essential in enterprise IT environments but have distinct technical focuses.

What does a Storage Engineer do?

A Storage Engineer is responsible for designing, implementing, and managing data storage systems within an organization. They ensure that data is stored securely, efficiently, and is easily accessible when needed. Their role often involves configuring storage hardware and software, monitoring system performance, troubleshooting issues, and planning for data backup and disaster recovery. Storage Engineers also work closely with IT teams to ensure storage solutions meet the company’s needs and comply with data security policies.

What are the key skills and qualifications needed to thrive as a Storage Engineer, and why are they important?

To thrive as a Storage Engineer, you need a solid understanding of storage systems architecture, data management, and backup/recovery processes, often supported by a degree in computer science or related fields. Familiarity with storage area networks (SAN), network-attached storage (NAS), cloud storage platforms, and certifications such as NetApp, EMC, or CompTIA Storage+ are typically required. Strong problem-solving skills, attention to detail, and effective communication help Storage Engineers collaborate with IT teams and address complex storage issues efficiently. These skills are critical to ensuring data integrity, system reliability, and optimal performance in enterprise environments.
More about Storage Engineer jobs
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What are popular job titles related to Storage Engineer jobs in UT? For Storage Engineer jobs in UT, the most frequently searched job titles are:
Storage Engineer jobs near you
Data Engineer

Data Engineer

AutoSavvy

Woods Cross, UT • On-site

$108K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Job description

Data Engineer (Mid-Level)
Utah (Local Required)
Overview
AutoSavvy is a fast-growing automotive retailer focused on providing high-quality, branded title vehicles at competitive prices nationwide. We leverage data and internal systems to drive operational efficiency, pricing strategy, and decision-making across the business.
We are looking for a Data Engineer to help scale our internal data and automation capabilities within a Microsoft Azure environment. This role focuses on building and maintaining data pipelines, improving reporting datasets, and developing internal tools that support operational pricing, and reporting decisions.
You will be the first dedicated data engineering hire, helping define how data systems are built, maintained, and scaled across the organization, working directly with the technical lead responsible for architecture and strategy. This role is focused on execution, ownership, and building systems that scale.
Our stack primarily includes Azure SQL, Python-based data workflows, Azure Functions and Container Apps for scheduled and event-driven workflows, and Azure Blob Storage.
Scope of the Role
You will work across data pipelines, reporting datasets, and backend workflows.
This role requires someone comfortable operating across multiple areas and building practical, scalable solutions.
What You'll Work On (Examples)
Optimize and extend existing pipelines improving reliability and reducing job runtimes while designing new pipelines and databases as needed
  • Build and maintain pipelines that ingest, transform, and standardize operational data
  • Improve performance and reliability of SQL-based datasets
  • Automate internal workflows that require manual data handling
  • Design clean, reusable data models to support business metrics and dashboards
  • Integrate external APIs and internal systems into centralized data workflows

Responsibilities
Data Pipelines & Azure Infrastructure
  • Build, maintain, and optimize ETL/ELT pipelines using Azure services
  • Work with data across Azure SQL, Blob Storage, and related services
  • Ensure data quality, reliability, and performance through monitoring and troubleshooting
  • Implement data validation and testing (e.g., data quality checks, unit/integration tests) to ensure correctness and maintainability

Data Modeling & Reporting Support
  • Develop and maintain clean, reliable datasets for reporting and analytics
  • Collaborate on data models that support business metrics and dashboards
  • Write and optimize complex SQL queries for performance and clarity

Automation & Internal Tooling
  • Build Python-based scripts and services to automate internal workflows
  • Integrate with external APIs and internal systems
  • Reduce manual processes through automation

Collaboration & Execution
  • Execute against defined architecture and technical direction
  • Contribute to solution design
  • Communicate progress, blockers, and improvements clearly

Required Qualifications
  • 3-5 years of experience in data engineering or similar role
  • Ability to work independently on well-scoped problems with minimal guidance
  • Strong SQL skills (advanced querying, performance tuning, data transformations)
  • Proficiency in Python for data processing and automation
  • Experience writing maintainable, testable Python code
  • Experience using Git for version control (e.g., GitHub), including branching and pull request workflows
  • Hands-on experience with Azure data services, including:
    • Azure SQL Database or SQL Server
    • Experience orchestrating data workflows (e.g., Azure Functions, Container Apps, Airflow, or similar)
    • Azure Blob Storage or Data Lake
  • Experience building and maintaining ETL/ELT pipelines
  • Experience working with large, structured datasets

Preferred Qualifications
  • Familiarity with data modeling for analytics and reporting
  • Experience integrating with REST APIs and external data sources
  • Understanding of CI/CD practices and tooling (Azure DevOps preferred)
  • Experience optimizing data workflows for cost and performance in Azure
  • Experience supporting Power BI through well-structured datasets and optimized data models
  • Proficiency with Excel for data analysis, validation, and ad hoc reporting
  • Experience with observability and monitoring (e.g., logging, metrics, alerting in Azure)

Mindset & Approach
  • Curious and proactive in learning new tools, technologies, and industry practices
  • Stays current with modern data engineering and software development patterns
  • Comfortable leveraging AI-assisted development tools (e.g., Claude, Codex, ChatGPT, Grok, etc.) to improve productivity and solution quality
  • Able to critically evaluate AI-generated output and apply sound engineering judgment
  • Continuously looks for ways to improve systems, processes, and developer efficiency
  • Bias toward simple, pragmatic solutions over unnecessary complexity

Ownership & Working Style
  • Comfortable working independently with minimal oversight while aligning to defined priorities and architecture
  • Takes ownership of problems from initial concept through implementation and iteration
  • Proactively identifies gaps, inefficiencies, and opportunities for improvement
  • Communicates clearly on progress, tradeoffs, and blockers without needing constant direction
  • Comfortable asking for clarification when needed to ensure alignment and avoid misdirection

What Success Looks Like
Within the first 90 days, you will:
  • Take ownership of existing Azure-based pipelines and improve reliability
  • Deliver new data workflows with minimal oversight
  • Reduce manual or repetitive processes through automation
  • Improve performance and usability of reporting datasets

Within 6-12 months, you will:
  • Own a set of data pipelines or domains end-to-end
  • Establish and improve standards for data quality, testing, and pipeline reliability
  • Deliver measurable improvements in performance, maintainability, and operational efficiency
  • Contribute to shaping best practices for how data systems are built and scaled

What This Role is Not
  • Not a narrowly scoped or ticket-driven position
  • Not focused on building machine learning or AI model

Team & Growth
  • You will work directly with the senior technical lead focused on system design and strategy
  • You will have meaningful input into how solutions are implemented and improved
  • Opportunity to grow into ownership of larger systems and architecture
  • As systems scale, this role can expand into broader engineering or platform ownership
  • Opportunity to mentor future hires and influence engineering and hiring standards as the team grows

Why This Role
  • Be the first dedicated data engineering hire and help shape how data systems are built and scaled
  • High-trust, low-bureaucracy environment with real ownership and decision-making autonomy
  • Build systems that directly impact business operations, pricing, and reporting
  • Focus on meaningful engineering work rather than one-off tasks

Physical Requirements
  • Ability to sit at a desk for extended periods, perform repetitive tasks like typing, and frequent use a video calls.
  • Dedicated Workspace: A quiet, private area free from noise and distractions to ensure productivity and data security.
  • High-Speed Internet: Reliable broadband internet, often requiring a wired Ethernet connection to the router rather than Wi-Fi for stability.

Work Environment
  • In office meetings out of the Woods Cross, UT location.
Requirements
  • Valid driver's license with acceptable driving record
  • Ability to pass a background check
  • Authorized to work in the United States
  • Requirement of Multi-Factor Authentication apps on cell phone

Benefits:
  • Comprehensive Benefits: Medical, Dental, and Vision coverage, HSA match, TelaDoc, Pharmacy Discount Programs, and Employer paid Life Insurance
  • Employee Assistance Program: Free of charge for personal uses such as support and general resources
  • Additional Perks: Pet Insurance, Gym Discounts, and an Employee Vehicle Purchase Program, Volunteer PTO Program
  • Retirement Savings: Employer matching contributions
  • Paid Time Off: Among the best PTO policies in the industry
  • Paid Holidays: 7 Major Holidays

AutoSavvy provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
All offers of employment at AutoSavvy are contingent upon clear results of a thorough background check and motor vehicle report (MVR). Background checks and MVRs will be conducted on all final candidates offered employment. AutoSavvy participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the United States.

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