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Data Storage Jobs in California (NOW HIRING)

Prolog Inc.

Storage Specialist

Barstow, CA · On-site

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

Cadence

IT Staff Storage Engineer

San Jose, CA · On-site

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 ...

Cystems Logic

Network Storage Administrator

Irvine, CA · On-site

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 ...

Cadence Design Systems Inc.

IT Staff Storage Engineer

San Jose, CA · On-site

$57.21 - $106.25/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Ensures the availability, reliability, scalability, and manageability of the data storage environment Works with key technical and business stakeholders to determine data and storage requirements and ...

Methodic

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

This role involves ensuring efficient and accurate data storage, enabling analytics for platform usage, and contributing to data-driven decisions. Responsibilities : • Design and maintain database ...

Staffingine LLC

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Data Storage Solutions: Design and maintain storage solutions using Medallion Architecture in S3 and Redshift * Workflow Orchestration: Monitor and optimize data workflows using Airflow or other ...

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All JobsData Storage JobsData Storage Jobs in California

Data Storage information

See California salary details

$14

$36

$107

How much do data storage jobs pay per hour?

As of Aug 16, 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 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 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 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 are popular job titles related to Data Storage jobs in California?

For Data Storage jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Storage jobs in California look for?

The top searched job categories for 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:

Data Storage jobs near you
Infographic showing various Data Storage job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $76,837 per year, or $36.9 per hour.

Staff Software Engineer, Big Data Storage

Pinterest

Palo Alto, CA • On-site, Remote

Full-time

Re-posted 10 days ago

Job description

We're looking for a Staff Software Engineer to help build the next generation of Pinterest's big data storage platform. You'll work on some of the most exciting big data open source technologies - especially Apache Iceberg - at exabyte scale to power the data infrastructure that helps Pinners discover and do what they love.

As a Staff Software Engineer, you'll serve as a technical leader and hands-on contributor, designing and building highly scalable storage systems for Pinterest's data lake. You'll partner closely with teams across data, ML/AI, analytics, and infrastructure to evolve our storage and metadata management capabilities, enabling efficient, reliable, and governed access to data at massive scale.

What you'll do:

  • Design, implement, and optimize Pinterest's exabyte-scale data lake storage platform.
  • Lead complex technical projects and initiatives for data lake storage and metadata management, driving them from architecture through execution.
  • Collaborate with stakeholders and partner teams across the organization to design storage and metadata layer technologies that unlock big data and ML/AI innovations.
  • Build storage capabilities that efficiently support large-scale ML/AI workloads, including high-throughput data access, schema evolution, and large-scale column backfills.
  • Shape the long-term technical direction for scalable, reliable, and efficient big data storage systems.
  • Engage with and contribute to open source communities such as Apache Iceberg, Spark, and Flink to help address Pinterest's scaling challenges.

What we're looking for:

  • 8+ years of relevant industry experience designing and building large-scale production distributed systems.
  • Strong experience designing and maintaining scalable storage, metadata, or data lake infrastructure.
  • Experience building storage capabilities for large-scale ML/AI or analytics workloads, including high-throughput data access, schema evolution, and large-scale column backfills.
  • Deep knowledge with building distributed systems, data storage systems, and production infrastructure.
  • Experience with big data technologies such as Apache Iceberg, Spark, Flink, Presto/Trino, Hive, or similar systems.
  • Proficiency in programming languages like Java, Scala, or Python.
  • Proven ability to lead complex technical initiatives and influence architecture across teams.
  • Strong collaboration, communication, and problem-solving skills, with a drive for technical excellence and innovation.
  • Bachelor's degree in a relevant field such as Computer Science, or equivalent experience

In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. 

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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