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Internship Data Storage Jobs in California (NOW HIRING)

Everpure

University Recruiter

Santa Clara, CA · On-site

$94K - $117K/yr

We're in an unbelievably exciting area of tech and are fundamentally reshaping the data storage ... Lead full-cycle recruiting efforts for technical and business internships and new graduate roles ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA

$25/hr

This internship provides hands-on experience in building production-ready data systems within a ... storage Familiarity with cloud computing and distributed systems Analytical mindset with strong ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA

$25/hr

This internship provides hands-on experience in building production-ready data systems within a ... storage Familiarity with cloud computing and distributed systems Analytical mindset with strong ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA · On-site

$25/hr

This internship provides hands-on experience in building production-ready data systems within a ... storage • Familiarity with cloud computing and distributed systems • Analytical mindset with ...

Palantir

$10K/mo

Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and ... This should be your final internship before graduating. To apply, please submit the following: * An ...

Amazon

Senior SDE, OpenSearch, AWS OpenSearch

Santa Clara, CA · On-site

$143K - $189K/yr

... as data storage, query optimization, JVM performance optimization, security, machine learning and ... of non-internship professional software development experience - 5+ years of programming with at ...

Palantir

Software Engineer, Internship

Palo Alto, CA

$10K/mo

Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and ... This should be your final internship before graduating. To apply, please submit the following: * An ...

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

Internship Data Storage information

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 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 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 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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior/Staff Full Stack Engineer

Career Renew

San Francisco, CA • On-site

$175K - $270K/yr

Full-time

Re-posted 27 days ago

Job description

Career Renew is recruiting for one of its clients a Senior/Staff Full Stack Engineer - this is an onsite role in San Francisco. Salary range: 175-270K USD base plus benefits plus equity.

The scientific decision engine for R&D. Raw data → defensible decisions, faster.

Pharma and biotech R&D often spend weeks, or even months, learning, coding, and troubleshooting discovery analysis pipelines. This slows research and diverts focus from the work that truly matters: discovery.

We change that. Using only natural language from the user, our AI builds custom workflows with full transparency and reproducibility for discovery data (omics and beyond), on-demand and in minutes, not weeks. Discovery researchers across therapeutic areas can instantly align, analyze, interpret, integrate, and iterate hypotheses for complex datasets without manual coding or repetitive setup.

By automating these time-consuming processes, we empower scientists to spend more time designing experiments, testing insights, and driving high-quality discoveries, including novel IP. From accelerating data analysis to uncovering novel targets and biomarkers, we are the Scientific Decision Engine that turns data into actionable breakthroughs.

We're are looking for a Senior/Staff Full Stack Engineer with 4+ YOE to join our Engineering team. We need a builder who is excited to create foundational systems and have meaningful influence on our technology as we work to accelerate drug discovery and improve human health globally. This is a top priority hire driven by our hypergrowth and the need to scale our core product to meet surging enterprise demand.

Responsibilities

  • Build new product features and systems from scratch across frontend and backend, directly expanding Mithril's platform capabilities for world-class researchers

  • Design, build, and own scalable backend services, APIs, and data pipelines that power the Mithril AI platform across the application, identity, data storage, and ML layers

  • Work within fast-moving sprint cycles to ship code quickly, contributing to production within your first few weeks

  • Collaborate with a cross-functional team of engineers, product managers, designers, and AI scientists to translate complex scientific workflows into intuitive, high-performance software

  • Own features end-to-end from early development through production deployment, iteration, and scale — ensuring they deliver real value to researchers at leading pharma and biotech organizations

Requirements:
4+ years of experience in professional full-stack or backend engineering (not including internships) (Mandatory)
Built products at early-stage or high-growth startups, preferably as a founder or early employee (Mandatory)
Experience shipping and owning production systems used by real customers (Mandatory)
Experience designing and working with scalable systems, databases, and data-intensive applications.(Mandatory)
BS in Computer Science, STEM, or related technical skill (Mandatory)
Strong proficiency in modern frameworks, like Python and React (Mandatory)
Experience building backend services and REST APIs, with Django as a plus (Mandatory)
Familiarity with GraphQL and cloud infrastructure, like AWS (Nice-to-have)
Intellectually curious and excited to learn – ask questions and engage deeply with the product and problem space (Mandatory)
Positive and collaborative with the energy to thrive in a high-communication, in-person team culture.(Mandatory)
Demonstrated interest in life sciences, drug discovery, or computational biology (Nice-to-have)
Why candidates should join

Why us?

  • Real impact: Our platform is used daily by world-class researchers at J&J, Roche, Eli Lilly, AstraZeneca, and Siemens compressing months of drug discovery into minutes.

  • Hypergrowth: 12x YoY revenue growth; $0 to $2M in year one, on track to blow past $10M this year — three enterprise deals closed in a single week

  • Strong funding: $XXM Series A (~$100M valuation) led by Obvious Ventures, a deep tech and biotech specialist fund; stealth only share details on call (not written)

  • Proprietary moat: The biological knowledge graph is core IP — integrating global genomic datasets, published research, and proprietary data into a context layer that OpenAI and Anthropic can't replicate overnight


Why this Role?

  • Builder: You're building V1 of a product that enterprise pharma is already paying for — greenfield full stack work with end-to-end ownership from concept to production

  • Career accelerator: Engineering grows from 10 to 30 by EOY and 60–70 the year after — tech lead and manager paths are imminent. Create your own adventure in terms of where you want to take your career

  • Competitive Comp: $175K–$270K base + 0.3–0.6% equity