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Data Storage Jobs in California (NOW HIRING)

Marencor

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

You will work closely with technical analysts, client stakeholders, data scientists, and other team members to ensure data quality and integrity while optimizing data storage solutions for ...

TEKsystems

Data Collection Researcher I

San Jose, CA

$25 - $30/hr

Data collection Data storage Data analysis Reporting and documentation Hands-on experience managing data collection projects from start to finish Top Skills Amazon Is Looking For Data Collection ...

TEKsystems

Data Collection Researcher I

San Jose, CA · On-site

Data collection Data storage Data analysis Reporting and documentation Hands-on experience managing data collection projects from start to finish Top Skills Amazon Is Looking For Data Collection ...

TMS

Software Engineer, ML Data Reliability

Cupertino, CA · On-site

$141K - $169K/yr

Owning the ingestion and transformation of datasets needed for mission-critical operations like machine learning, renewable energy supply, and battery storage. * Designing data models and choosing ...

Photon

Data Architect | California

San Diego, CA · On-site

$67.75 - $87/hr

Implement best practices for data storage and retrieval. Integration: Collaborate with cross-functional teams to integrate data from various sources into a unified architecture. Ensure seamless data ...

Photon

Data Architect | California

San Diego, CA · On-site

$67.75 - $87/hr

Implement best practices for data storage and retrieval. Integration: Collaborate with cross-functional teams to integrate data from various sources into a unified architecture. Ensure seamless data ...

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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.

ML Data Infrastructure Engineer

Redolent, Inc.

Sunnyvale, CA • On-site, Remote

Contractor

Re-posted 14 days ago

Job description

Key Responsibilities:
  • Design and implement scalable data processing pipelines for ML training and validation
  • Build and maintain feature stores with support for both batch and real-time features
  • Develop data quality monitoring, validation, and testing frameworks
  • Create systems for dataset versioning, lineage tracking, and reproducibility
  • Implement automated data documentation and discovery tools
  • Design efficient data storage and access patterns for ML workloads
  • Partner with data scientists to optimize data preparation workflows

Technical Requirements:
  • 7+ years of software engineering experience, with 3+ years in data infrastructure
  • Strong expertise in GCP's data and ML infrastructure:
    • BigQuery for data warehousing
    • Dataflow for data processing
    • Cloud Storage for data lakes
    • Vertex AI Feature Store
    • Cloud Composer (managed Airflow)
    • Dataproc for Spark workloads
  • Deep expertise in data processing frameworks (Spark, Beam, Flink)
  • Experience with feature stores (Feast, Tecton) and data versioning tools
  • Proficiency in Python and SQL
  • Experience with data quality and testing frameworks
  • Knowledge of data pipeline orchestration (Airflow, Dagster)

Nice to Have:
  • Experience with streaming systems (Kafka, Kinesis)
  • Experience with GCP-specific security and IAM best practices
  • Knowledge of Cloud Logging and Cloud Monitoring for data pipelines
  • Familiarity with Cloud Build and Cloud Deploy for CI/CD
  • Experience with streaming systems (Pub/Sub, Dataflow)
  • Knowledge of ML metadata management systems
  • Familiarity with data governance and security requirements
  • Experience with dbt or similar data transformation tools
Redolent logo

About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

Social media

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