1

Data Storage Jobs in California (NOW HIRING)

Analyze location, cube, velocity, utilization, and material-characteristic data to support stock positioning and storage optimization. * Coordinate bin-to-bin moves, WMS updates, labeling ...

They are seeking an IT Staff Storage Engineer responsible for ensuring the availability and performance of data storage environments, collaborating with stakeholders to meet storage requirements, and ...

Own the Data Lifecycle: Manage the end-to-end lifecycle of data storage, from high-performance block storage (EBS) to scalable object storage (S3) and automated lifecycle policies. Modernize the ...

next page

Showing results 1-20

Data Storage information

See California salary details

$14

$36

$107

How much do data storage jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for data storage in California is $36.94, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $39.86 per hour, depending on experience, location, and employer.

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

To thrive as a Data Storage Specialist, you need expertise in data management, storage architectures, and backup/recovery solutions, often supported by a degree in computer science or information technology. Familiarity with storage area networks (SAN), network-attached storage (NAS), cloud storage platforms, and certifications like CompTIA Storage+ or vendor-specific credentials are typically required. Strong problem-solving skills, attention to detail, and effective communication help you manage complex systems and collaborate across IT teams. These skills ensure data integrity, security, and availability, which are critical for organizational operations and disaster recovery.

What is the highest paying data job?

Data storage professionals such as data architects and cloud solutions architects tend to have the highest salaries in data-related roles, often exceeding six figures. These roles require expertise in data management, cloud platforms, and security, and may involve certifications like AWS or Azure. Senior positions with extensive experience and specialized skills typically command the highest compensation.

Is data warehousing a good career?

Data warehousing is a viable career path within data storage roles, involving designing and managing large-scale data systems using tools like SQL, ETL processes, and cloud platforms. It offers opportunities in industries such as finance, healthcare, and technology, with demand for skills in data modeling, database management, and analytics. Certifications like Certified Data Management Professional (CDMP) can enhance job prospects.

What is the difference between Data Storage vs Data Analyst?

AspectData StorageData Analyst
Required CredentialsKnowledge of database systems, certifications like CompTIA Storage+Degree in statistics, data science, or related fields; certifications like Microsoft Data Analyst
Work EnvironmentData centers, IT departments, cloud storage facilitiesOffice settings, analytics teams, business departments
Employer & Industry UsageIT companies, cloud providers, data centersBusiness, finance, marketing, and healthcare sectors
Common Search & Comparison IntentUnderstanding storage solutions, infrastructure rolesAnalyzing data, generating insights

Data Storage focuses on managing and maintaining data infrastructure, while Data Analysts interpret data to support decision-making. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What jobs make $1,000,000 a year?

In the field of data storage, high-paying roles such as Chief Data Officer, Data Storage Architect, or senior data infrastructure executives can earn around or above $1 million annually, especially in large corporations or tech firms. These positions typically require extensive experience, advanced technical skills, and leadership responsibilities, often involving strategic planning, system design, and management of large-scale data environments.

What is data storage and why is it important?

Data storage refers to the process of saving digital information on various types of storage media, such as hard drives, solid-state drives, cloud platforms, or optical discs. It is essential for businesses and individuals to securely store, manage, and access their data when needed. Effective data storage ensures data protection, supports business continuity, and enables efficient information retrieval for operations and decision-making.

What is an entry level job at a data center?

An entry-level job at a data center often includes roles such as Data Center Technician or Support Technician, which involve tasks like hardware installation, maintenance, and troubleshooting. These positions typically require basic technical skills, familiarity with data center equipment, and may involve working in a fast-paced environment with shift schedules.

What are the typical challenges faced when managing large-scale data storage systems, and how are they addressed within a team setting?

Professionals in data storage roles often encounter challenges such as ensuring data security, minimizing downtime, and optimizing performance as storage needs grow. Addressing these issues typically involves close collaboration with IT, network, and security teams to implement robust backup solutions, monitor system health, and maintain compliance with data regulations. Regular team meetings and cross-functional projects are common, allowing team members to share best practices and quickly respond to incidents, ensuring the reliability and scalability of storage systems.
What are the most commonly searched types of Data Storage jobs in California? The most popular types of Data Storage jobs in California are:
What cities in California are hiring for Data Storage jobs? Cities in California with the most Data Storage job openings:
Infographic showing various Data Storage job openings in California as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 13% Part Time, and 8% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $76,837 per year, or $36.9 per hour.
HPC Data Storage Administrator (Research & HPC Data Platforms)

HPC Data Storage Administrator (Research & HPC Data Platforms)

Stanford University

Stanford, CA • On-site

Full-time

Posted 19 days ago


Stanford University rating

7.8

Company rating: 7.8 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

204th of 560 rated colleges and universities


Job description

Job Summary:
Stanford University is seeking an HPC Data Storage Administrator to join their Research & HPC Data Platforms group. The role involves managing a diverse environment of storage systems to support high-level research initiatives, focusing on scaling, reliability, and performance engineering.
Responsibilities:
• Architecture: Adapt and evolve the technology designs of existing systems to meet the needs of future computing platforms and research aims.
• Platform Management: Deliver on the scaling, reliability, security, compliance, operations, and lifecycle management of our primary research computing storage platforms, including for high-risk data.
• Tiered Storage Architecture: Oversee the integration of Lustre HSM on the Elm platform, managing data movement policies between parallel filesystems and MinIO object storage.
• Performance Engineering: Tune I/O for large-scale High Performance Computing and AI workloads.
• Community Stewardship: Represent Stanford within the Lustre community and other key community groups, contributing to the upstream roadmap and maintaining a vendor-neutral storage strategy.
• Platform Management: Contribute to the scaling, reliability, security, compliance, operations, and lifecycle management of our primary research computing storage platforms, including for high-risk data.
• Operational Excellence: Perform complex filesystem upgrades, kernel patches, and hardware refreshes with minimal downtime.
• Monitoring & Telemetry: In collaboration with others, build and maintain sophisticated observability stacks for real-time I/O tracking and trend analysis.
• User Support: Act as an escalation point for researchers struggling with complex I/O patterns, job failures, or data access issues.
• Maintenance: Manage the physical and logical health of the storage fleet, including RMA processes, firmware updates, and disk replacement cycles.
Qualifications:
Required:
• Education: Bachelor’s degree and eight years of relevant experience, or a combination of education and relevant experience.
• Expertise at Scale: 8+ years of hands-on experience architecting, building, and managing Lustre and ZFS or similar filesystems at the 20PB+ scale.
• Object Storage & HSM: Deep technical fluency in MinIO and Lustre HSM (copytools, policy engines like RobinHood) or similar tools.
• Kernel & Network Mastery: Expert-level knowledge of the Linux kernel and large-scale InfiniBand/Ethernet fabric tuning.
• In-depth Troubleshooting Experience: Must be capable of leading the debugging of issues such as kernel panics, LNet congestion, and metadata bottlenecks.
• Leadership: Proven experience mentoring junior admins and leading large-scale migration projects without data loss.
• Communication: Strong written and verbal communication skills.
• Experience: 5+ years of Linux Systems Administration, with 3+ years specifically in an HPC or large-scale data environment.
• Technical Stack: Strong hands-on experience with Lustre, ZFS, MinIO, and/or similar technologies.
• Scripting: Advanced proficiency in scripting languages for automating routine storage tasks and parsing system logs.
• Hardware Mastery: Comfortable with the physical aspects of the role—diagnosing hardware failures and understanding power/cooling requirements for high-density storage.
• Communication: Strong written and verbal communication skills.
Company:
Stanford University is a teaching and research university that focuses on graduate programs in law, medicine, education, and business. Founded in 1885, the company is headquartered in Stanford, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Stanford University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom