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Internship Data Storage Jobs in California (NOW HIRING)

VSolvit

JUNIOR FULL STACK DEVELOPER

Norco, CA · On-site

NET. • Work with PostgreSQL databases for data storage and query optimization; support the ... internship, or professional experience with React and JavaScript/TypeScript. • Strong ...

CAIR LA

Internship

Anaheim, CA · On-site

$15.75 - $21/hr

The Special Projects/Grants internship delivers our objective-based programming and services by leading the building of infrastructure, data collection and storage, research, and creating sustainable ...

VSolvit

JUNIOR FULL STACK DEVELOPER

Norco, CA · On-site

$25 - $41/hr

NET. * Work with PostgreSQL databases for data storage and query optimization; support the ... internship/project experience). * 1-2 years of academic, internship, or professional experience ...

Supermicro

Thermal Engineer

San Jose, CA · On-site

$109K - $117K/yr

Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data ... internships with strong thermal focus) * Basic knowledge of thermal management hardware (computer ...

Super Micro Computer

Thermal Engineer

San Jose, CA · On-site

$109K - $117K/yr

Supermicro ® is a Top Tier provider of advanced server, storage, and networking solutions for Data ... internships with strong thermal focus) * Basic knowledge of thermal management hardware (computer ...

Amazon

Software Dev Engineer III, Redshift

East Palo Alto, CA · On-site

$67.75 - $91/hr

... span data storage architecture, durability mechanisms, and performance optimization at massive ... BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ ...

SpaceXAI

Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

... experience (internship experience is applicable) • Experience in implementing or analyzing ... columnar storage formats in large-scale data systems • Familiarity with Kubernetes and ...

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All JobsData Storage JobsInternship Data Storage JobsInternship Data Storage Jobs in California

Internship Data Storage information

What are the big 4 internships?

The Big 4 internships typically refer to internship programs at Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as audit, consulting, tax, and advisory, providing valuable experience and potential pathways to full-time roles in professional services.

What types of projects do interns typically work on during a Data Storage internship?

During a Data Storage internship, interns usually participate in projects such as optimizing database performance, assisting with data migration between storage systems, and supporting the implementation of backup and disaster recovery processes. Interns may also help monitor storage usage, analyze data access patterns, and contribute to documentation for best practices. These tasks provide hands-on experience with storage technologies and offer valuable insights into how data is managed and protected within an organization.

What does a data intern do?

A data intern assists with managing and organizing data within storage systems, often supporting data collection, cleaning, and analysis tasks. They may work with databases, learn data management tools, and follow data security protocols under supervision to gain practical experience in data handling.

What does an Internship Data Storage role involve?

An Internship Data Storage role typically involves assisting with the management, organization, and security of digital data within a company. Interns in this position may work with databases, cloud storage platforms, and backup systems, helping to ensure data is stored efficiently and securely. Responsibilities often include supporting data migration projects, monitoring storage usage, and helping to troubleshoot issues. This role provides valuable hands-on experience with modern data storage technologies and practices, making it ideal for students interested in IT infrastructure or data management.

What are the key skills and qualifications needed to thrive as an Internship Data Storage professional, and why are they important?

To thrive as an Internship Data Storage professional, you typically need foundational knowledge of data management, database concepts, and basic programming, often supported by coursework in computer science or information technology. Familiarity with database systems like SQL, cloud storage platforms, and data backup tools is commonly expected. Strong analytical thinking, attention to detail, and effective communication skills help interns learn quickly and collaborate with team members. These skills and qualities are crucial for ensuring data integrity, supporting organizational needs, and developing competence in a technical environment.

What is the highest paying data entry job?

The highest paying data entry jobs typically involve specialized roles such as medical or legal transcription, data management, or roles requiring advanced software skills like database management or data analysis. These positions often offer higher salaries due to the complexity and accuracy required, and may require certifications or experience with tools like Excel, SQL, or data management systems.

What is the difference between Internship Data Storage vs Data Analyst?

AspectInternship Data StorageData Analyst
Required CredentialsBasic knowledge of databases, data management, and possibly some certificationsDegree in data science, statistics, or related field; often requires certifications in data analysis tools
Work EnvironmentInternship setting, often in IT or data departments, with supervised tasksFull-time or part-time roles in various industries, involving data interpretation and reporting
Employer & Industry UsageUsed by companies to train and evaluate potential future data professionalsEmployed across industries to analyze data, generate insights, and support decision-making

Internship Data Storage focuses on learning data management and storage systems, often as a stepping stone into data careers. Data Analysts, however, analyze and interpret data to inform business decisions. While both roles involve working with data, internships are entry-level training positions, whereas Data Analysts are professional roles requiring more experience and skills.

What type of internship can I get for data analyst?

Internships for data analysts typically involve roles in data collection, cleaning, analysis, and visualization using tools like Excel, SQL, or Python. These internships often require basic statistical knowledge and may be offered in technology, finance, healthcare, or marketing industries, with some requiring coursework or certifications in data analysis or related fields.
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 Internship Data Storage jobs in California? For Internship Data Storage jobs in California, the most frequently searched job titles are:
What job categories do people searching Internship Data Storage jobs in California look for? The top searched job categories for Internship Data Storage jobs in California are:
What cities in California are hiring for Internship Data Storage jobs? Cities in California with the most Internship Data Storage job openings:
Internship Data Storage jobs near you
Infographic showing various Internship 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.
Staff+ Software Engineer, Data Infrastructure

Staff+ Software Engineer, Data Infrastructure

Anthropic

San Francisco, CA

$134K - $162K/yr

Other

Posted 11 days ago

Job description

About the role

Data Infrastructure designs, operates, and scales secure, privacy-respecting systems that power data-driven decisions across Anthropic. Our mission is to provide data processing, storage, and access that are trusted, fast, and easy to use.

We're looking for infrastructure engineers who thrive working at the intersection of data systems, security, and scalability. You'll tackle diverse challenges ranging from building financial reporting pipelines to architecting access control systems to ensuring cloud storage reliability. This role offers the opportunity to work directly with data scientists, analysts, and business stakeholders while diving deep into cloud infrastructure primitives.

Responsibilities:

Within Data Infra, you may be matched to critical business areas including: 

  • Data Governance & Access Control: Design and implement robust access control systems ensuring only authorized users can access sensitive data. Build infrastructure for permission management, audit logging, and compliance requirements. Work on IAM policies, ACLs, and security controls that scale across thousands of users and systems.

  • Financial Data Infrastructure: Build and maintain data pipelines and warehouses powering business-critical reporting. Ensure data integrity, accuracy, and availability for complex financial systems, including third party revenue ingestion pipelines; manage the external relationships as needed to drive upstream dependencies. Own the reliability of systems processing revenue, usage, and business metrics.

  • Cloud Storage & Reliability: Architect disaster recovery, backup, and replication systems for petabyte-scale data. Ensure high availability and durability of data stored in cloud object storage (GCS, S3). Build systems that protect against data loss and enable rapid recovery.

  • Data Platform & Tooling: Scale data processing infrastructure using technologies like BigQuery, BigTable, Airflow, dbt, and Spark. Optimize query performance, manage costs, and enable self-service analytics across the organization.

You might be a good fit if you:
  • Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building data infrastructure, storage systems, or related distributed systems
  • Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead
  • Can set technical direction for a team, not just execute within it
  • Have deep experience with at least one of:
  • Strong proficiency in programming languages like Python, Go, Java, or similar
  • Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS)
  • Can navigate complex technical tradeoffs between performance, cost, security, and maintainability
  • Have excellent collaboration skills - you work well with both technical and non-technical stakeholders
Strong candidates may also have:
  • Experience with security and compliance requirements (ITGC, GDPR, financial controls)
  • Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure
  • Experience with Kubernetes, containerization, and cloud-native architectures
  • Track record of improving data reliability, availability, or cost efficiency at scale
  • Knowledge of column-oriented databases, OLAP systems, or big data processing frameworks
  • Experience working in fintech, financial services, or highly regulated environments
  • Security engineering background with focus on data protection and access controls
Technologies We Use:
  • Data: BigQuery, BigTable, Airflow, Cloud Composer, dbt, Spark, Segment, Fivetran
  • Storage: GCS, S3
  • Infrastructure: Terraform, Kubernetes, GCP, AWS
  • Languages: Python, Go, SQL

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Apply