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How much do storage engineer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for storage engineer in California is $55.47, according to ZipRecruiter salary data. Most workers in this role earn between $46.01 and $65.48 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
What are the most commonly searched types of Storage Engineer jobs in California? The most popular types of Storage Engineer jobs in California are:
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What job categories do people searching Storage Engineer jobs in California look for? The top searched job categories for Storage Engineer jobs in California are:
What cities in California are hiring for Storage Engineer jobs? Cities in California with the most Storage Engineer job openings:
What are popular job titles related to Storage Engineer jobs in CA? For Storage Engineer jobs in CA, the most frequently searched job titles are:
Storage Engineer jobs near you
Infographic showing various Storage Engineer job openings in California as of August 2026, with employment types broken down into 81% Full Time, 13% Part Time, 2% Temporary, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $115,385 per year, or $55.5 per hour.

Storage Systems Engineer

University of California San Francisco

San Francisco, CA • On-site

Full-time

Re-posted 22 days ago

University Of California San Francisco rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

229th of 618 rated colleges and universities

Job description

This is a two-year contract of employment, inclusive of benefits. 

The Academic Research Services team at UCSF is seeking an Storage Systems Engineer (SYS ADM 4) to serve as a technical resource in the design, deployment, and operation of large-scale(multi petabytes) research storage and data infrastructure. This role will work in close partnership with the FAC Storage Lead to support UCSF's evolving research ecosystem, including Physical/Virtual Compute, CoreHPC, the Research Analysis Environment (RAE), and large institutional storage initiatives.

This position is primarily responsible for architecture, implementation, and lifecycle management for the Facility for Advanced Computing (FAC), storage and systems, including support for large storage environments based on ZFS, NFS v3 and v4 & SAMBA(SMB) NSF-funded infrastructure, and OS Nexus-aligned data platforms. The role ensures seamless integration between storage systems and the Physical/Virtual Compute as well as  CoreHPC compute cluster, enabling performant, reliable, and scalable data access for AI, data science, and computational research workloads.

The Storage Systems Engineer will:

  • Work with the FAC Storage lead to continue supporting the design and evolution of storage architecture on ZFS across on-prem and hybrid environments, including ZFS, NFS, SMB VAST, parallel filesystems, and enterprise storage platforms 

  • Develop and maintain data movement strategies and tooling (e.g., rsync, rclone, Globus, NFS, SMB workflows) to support large-scale data ingestion, migration, and lifecycle management 

  • Ensure tight integration between storage and Physical/Virtual Compute as well as  CoreHPC compute cluster systems, optimizing throughput, latency, and reliability for distributed workloads 

  • Support and scale storage systems backing major institutional initiatives (FAC storage(ZFS), OS Nexus integration) 

  • Collaborate closely with DevOps, networking, and security teams to deliver cohesive research infrastructure solutions 

  • Design and implement monitoring, performance tuning, and capacity planning strategies for storage and data systems 

  • Troubleshoot complex issues across storage, networking, and compute boundaries 

  • Participate in system upgrades, migrations, and expansion efforts with minimal disruption to researchers 

  • Provide guidance to researchers on data organization, transfer strategies, and performance optimization 

  • Evaluate and recommend emerging storage technologies and architectures 

This role may lead storage-focused projects and contribute to cross-functional initiatives that improve the scalability, usability, and reliability of UCSF's research computing ecosystem.

Department Overview 

Academic Research Systems (ARS) serves the needs of the UCSF research community by providing an integrated repository of HIPAA compliant clinical and life sciences data and a centralized, secure, professionally managed infrastructure for the storage and management of research data. ARS empowers medical scientific investigations by offering secure computing environments, data capture, management and analysis tools, and support services which meet researchers' needs. 

The Research Infrastructure team of the Academic Research Service (ARS) focuses on large scale research platform support, high performance computational and storage services for UCSF researchers so they can address complex computational, AI,  and data science problems.

About UCSF

The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.

Pride Values

UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values.

In addition to our PRIDE values, UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available here.

Join us to find a rewarding career contributing to improving healthcare worldwide.

Equal Employment Opportunity

The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

Salary Information

The final salary and offer components are subject to additional approvals based on UC policy.

Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.

To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html

REQUIRED QUALIFICATIONS

  • Bachelor's degree in a related area, such as computer science or engineering, and 6+ years of experience with storage infrastructure support and management, or 10+ years of related experience with large-scale storage systems 
  • Demonstrated skill (5 years +) deploying, managing, and troubleshooting ZFS (or similar) InfiniBand-based clusters 
  • Strong knowledge of ZFS, high-performance parallel filesystems, and storage such as GPFS, Lustre, Vast, DDN, etc
  • Advanced knowledge of computer security best practices and policies, including demonstrated experience securing research cyberinfrastructure systems to meet NIST 800-171 / 800-223, HIPAA, or IS-3 requirements
  • Knowledge of HPC job scheduler system design and operation, such as SLURM or PBS, 
  • Ability to elicit and communicate technical and non-technical information in a clear and concise manner.
  • Self-motivated and works independently and as part of a team. Demonstrates problem-solving skills. Able to learn effectively and meet deadlines.
  • Understanding of system performance monitoring and actions that can be taken to improve or correct performance.
  • Demonstrated advanced knowledge, skills, and abilities associated with system problem identification and resolution. Experience with design, configuration, operation, repair, and tuning of technology systems.
  • Advanced experience writing and editing the most complex scripts used to perform system maintenance and administration.
  • Demonstrated testing and test planning skills. Demonstrated ability to create automated testing.
  • Ability to write technical documentation in a clear and concise manner. Ability to develop runbooks defining complex technical processes in a clear and concise manner 

PREFERRED QUALIFICATIONS

  • Expert knowledge of Virtual Machines, Bare Metal Servers & HPC systems infrastructure design
  • Knowledge of the design, development and application of technology and systems to meet business needs.
  • General knowledge of other areas of IT. E.g., Active Directory, Domain Controllers, Network Infrastructure.
  • Demonstrated skills associated with adapting equipment and technology to serve user needs. Demonstrated comprehensive understanding of how system management actions affect other systems, system users and dependent/related functions.
  • Professional certification in enterprise storage technologies (e.g., NetApp, Dell EMC PowerScale, IBM Storage Scale, VAST, Pure Storage)

% 

of time

Essential Function (Yes/No)

  

Key Responsibilities

(To be completed by Supervisor)

25

 

Storage Architecture & Infrastructure

Design, deploy, and operate large-scale storage systems, including ZFS, VAST and parallel filesystems.
Define standards for performance, redundancy, and scalability on ZFS filesystems
Lead the evolution of institutional storage platforms, including FAC storage environments.Primarily ZFS

Manage Active Directory integration with storage and compute systems

15

 

Data Movement & Migration

Architect and execute large-scale data migrations.
Develop and maintain data movement workflows using tools such as rsync, rclone, and Globus.
Optimize data transfer processes across storage and compute environments.

15

 

Virtual/Physical Compute & HPC Integration & Performance

Integrate storage systems with the CoreHPC compute cluster 
Optimize I/O performance for AI, machine learning, and HPC workloads.
Support efficient data access patterns for distributed and scheduled workloads.

Manage & Configure VMWare, Bare Metal Servers

30

 

Operations & Reliability

Implement monitoring, alerting, and capacity planning for storage systems & operating systems like Linux/Windows
Troubleshoot issues across storage, network, and compute infrastructure.
Perform system maintenance, patching, and lifecycle management.

10

 

Researcher Enablement

Advise researchers on data workflows and storage best practices.
Support onboarding of projects with large-scale data requirements.

5

 

Collaboration & Strategy

Collaborate with DevOps, networking, and security teams.
Evaluate and recommend new storage technologies and architectures.

100%

 (To update total %, enter the amount of time in whole numbers (without the % symbol - e.g., 15, 20) then highlight the total sum (e.g., 1%) at the bottom of the column and press F9. The total sum should add up to 100%.)

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