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Senior Storage Engineer Jobs in Utah (NOW HIRING)

LVT

Senior Data Engineer

American Fork, UT · On-site

$94K - $128K/yr

ABOUT THIS ROLE As Senior Data Engineer, you will own and evolve LVT's core data platform ... Contribute to AI data infrastructure-support RAG pipelines, vector storage, and Snowflake Cortex ...

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 ... Position Overview The Senior Power Systems Engineer will serve a foundational role, functioning as ...

ASSA ABLOY

Senior Systems Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

As our Senior Systems Engineer, you'll support HID's success by ... Engaging in the design, deployment, and maintenance of server, storage, and cloud infrastructure ...

Assa Abloy

Senior Systems Engineer

Salt Lake City, UT · On-site

$100K - $137K/yr

As our Senior Systems Engineer, you'll support HID's success by ... Engaging in the design, deployment, and maintenance of server, storage, and cloud infrastructure ...

Qualus

Senior Estimator

Farmington, UT · On-site +1

The Senior Estimator/Inside Sales position works within the Sales Support Group at Qualus where ... storage developers, offering comprehensive solutions through boutique and integrated advisory ...

LVT

Senior DevOps Engineer I

American Fork, UT · On-site

$116K - $149K/yr

ABOUT THIS ROLE As a Senior DevOps Engineer at LVT, you will play a pivotal role in designing ... Possesses deep hands-on experience managing Kubernetes workloads, networking, RBAC, storage, and ...

LVT

Senior Data Engineer

American Fork, UT · On-site

$94K - $128K/yr

ABOUT THIS ROLE As Senior Data Engineer, you will own and evolve LVT's core data platform ... Contribute to AI data infrastructure--support RAG pipelines, vector storage, and Snowflake Cortex ...

LVT

Senior Data Engineer

American Fork, UT · On-site

$94K - $128K/yr

ABOUT THIS ROLE As Senior Data Engineer, you will own and evolve LVT's core data platform ... Contribute to AI data infrastructure-support RAG pipelines, vector storage, and Snowflake Cortex ...

Tookitaki Holding PTE LTD

$115K - $139K/yr

Senior Data Platform Engineer -- Cloudera, AWS & Kubernetes The mission We are looking for a battle ... You will work where distributed compute, storage, networking, Kubernetes, and production data ...

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All JobsStorage Engineer JobsSenior Storage Engineer JobsSenior Storage Engineer Jobs in Utah

Senior Storage Engineer information

See Utah salary details

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How much do senior storage engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for senior storage engineer in Utah is $54.59, according to ZipRecruiter salary data. Most workers in this role earn between $47.50 and $64.33 per hour, depending on experience, location, and employer.

What is a senior storage engineer?

Senior Storage Engineers are IT professionals responsible for designing, implementing, maintaining, and troubleshooting enterprise-level data storage systems. They work with technologies such as SAN (Storage Area Network), NAS (Network Attached Storage), and cloud storage solutions to ensure the efficient and secure management of large volumes of data. Their role often includes planning storage capacity, optimizing performance, and ensuring data backup and recovery processes. Senior Storage Engineers also provide technical guidance to junior staff and collaborate with other IT teams to support organizational data needs.

How do senior storage engineers typically collaborate with other IT teams to ensure data availability and performance?

Senior Storage Engineers frequently work alongside network administrators, database teams, and application developers to design and maintain robust storage solutions. They are often involved in cross-functional meetings to address storage requirements, troubleshoot performance issues, and implement backup or disaster recovery strategies. Effective communication and a collaborative mindset are crucial, as these professionals must translate business needs into technical solutions while ensuring the seamless integration of storage systems within the broader IT infrastructure.

What are the key skills and qualifications needed to thrive as a senior storage engineer, and why are they important?

To thrive as a Senior Storage Engineer, you need expertise in storage architecture, data management, and backup solutions, typically supported by a degree in computer science or related field and relevant experience. Familiarity with SAN/NAS systems, storage virtualization platforms, and certifications like EMC, NetApp, or CompTIA Storage+ are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you excel in troubleshooting and collaborating with IT teams. These skills ensure reliable data storage environments, minimize downtime, and support business continuity.

What is the difference between Senior Storage Engineer vs Storage Administrator?

AspectSenior Storage EngineerStorage Administrator
CredentialsTypically requires certifications like Cisco CCNA, NetApp NCDA, or EMC Proven ProfessionalOften holds similar certifications but may focus more on operational certifications
Work EnvironmentDesigns, implements, and maintains storage solutions, often in larger or complex environmentsManages daily storage operations, monitoring, and troubleshooting
ResponsibilitiesArchitects storage infrastructure, plans capacity, and optimizes performancePerforms routine backups, restores, and ensures storage availability
Industry UsageCommon in enterprise data centers, cloud environments, and large organizationsWidely used in organizations requiring daily storage management

The main difference is that Senior Storage Engineers focus on designing and optimizing storage solutions, while Storage Administrators handle daily management and operational tasks. Both roles require similar certifications and are essential in enterprise storage environments, but their responsibilities differ in scope and complexity.

What are the most commonly searched types of Storage Engineer jobs in Utah?

The most popular types of Storage Engineer jobs in Utah are:

What are popular job titles related to Senior Storage Engineer jobs in Utah?

For Senior Storage Engineer jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Senior Storage Engineer jobs in Utah look for?

The top searched job categories for Senior Storage Engineer jobs in Utah are:

What cities in Utah are hiring for Senior Storage Engineer jobs?

Cities in Utah with the most Senior Storage Engineer job openings:

What are popular job titles related to Senior Storage Engineer jobs in UT?

For Senior Storage Engineer jobs in UT, the most frequently searched job titles are:

Senior Storage Engineer jobs near you
Infographic showing various Senior Storage Engineer job openings in Utah as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $113,546 per year, or $54.6 per hour.

Senior Data Engineer

LVT

American Fork, UT • On-site

$94K - $128K/yr

Full-time

Re-posted 16 days ago

Job description

ABOUT THIS ROLE

As Senior Data Engineer, you will own and evolve LVT's core data platform-architecting and operating the pipelines, transformations, and semantic models that power reporting, analytics, and business decisions at scale. This is a high-impact individual contributor role: your technical decisions will influence company-wide systems and competitive positioning, not just team-level outputs. You'll lead cross-functional data initiatives, set engineering standards, and contribute to the data infrastructure that supports LVT's growing AI capabilities.

This role is based in-office out of our Headquarters in American Fork, Utah.

ROLE RESPONSIBILITIES

  • Design, build, and maintain scalable, production-grade ELT pipelines that move data reliably from diverse source systems into a clean, well-governed data platform.

  • Architect and own LVT's Snowflake environment-performance tuning, dynamic tables, clustering strategies, storage optimization, and cost governance.

  • Develop and enforce semantic models that expose consistent, trusted business definitions across all reporting and analytics surfaces.

  • Define and drive data engineering standards that improve quality, reliability, and productivity across teams-not just within BI.

  • Lead cross-functional data initiatives, partnering with engineering, finance, operations, and product to deliver solutions that drive meaningful organizational outcomes.

  • Establish data quality infrastructure-implement validation, monitoring, and alerting frameworks that surface problems before they reach stakeholders.

  • Contribute to AI data infrastructure-support RAG pipelines, vector storage, and Snowflake Cortex integrations as one component of the broader engineering scope.

  • Mentor junior engineers and build strong partnerships with executives and business stakeholders to drive adoption of data solutions.

OUR IDEAL CANDIDATE

  • Seasoned Data Engineer: 7+ years building and operating production data pipelines using SQL, Python, and modern ELT tooling (dbt, Fivetran, Airflow, or equivalents). You've owned systems under pressure and know how to build for long-term reliability.

  • Snowflake Depth: Expert-level Snowflake experience-performance optimization, dynamic tables, data security, and Cortex familiarity. You know when and why to use each capability.

  • Semantic Modeling Ownership: Proven ability to design and maintain semantic or metrics layers that enforce consistent business logic across a complex, multi-team organization.

  • High-Impact Execution: You operate at the level of organizational strategy-your work influences competitive positioning, not just sprint delivery. You define standards, evaluate trade-offs, and build for the long term.

  • Data Quality Obsession: Reliability is non-negotiable. You instrument pipelines with observability, validation, and alerting from day one, and you define the standards others follow.

  • Leadership & Ownership: You own work from scoping through production and beyond. You influence company-wide technology decisions and mentor others along the way-without waiting to be told what to do.

  • AI Infrastructure Fluency: Familiar with AI/ML data patterns-RAG architectures, vector stores, embedding pipelines-and able to build the data infrastructure those systems require.

  • Executive Communication: You build partnerships with executives and cross-functional stakeholders, translating complex technical trade-offs into clear recommendations that earn trust and drive adoption.

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