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Metadata Library Jobs in Santa Clara, CA (NOW HIRING)

Biohub

Staff Data Scientist, Imaging

Redwood City, CA · On-site

  • Retirement

  • PTO

... molecular structures, metadata, preprints and published papers-each with its own noise ... Strong computational skills (Python, scientific computing libraries); comfort working with large ...

Biohub

Staff Data Scientist, Imaging

Redwood City, CA · On-site +1

  • Retirement

  • PTO

... molecular structures, metadata, preprints and published papers-each with its own noise ... Strong computational skills (Python, scientific computing libraries); comfort working with large ...

Biohub

Staff Data Scientist, Imaging

Redwood City, CA · On-site

$214K - $294K/yr

  • Retirement

  • PTO

... molecular structures, metadata, preprints and published papers-each with its own noise ... Strong computational skills (Python, scientific computing libraries); comfort working with large ...

Veeam-Software

Director, Connectors

San Jose, CA · On-site

$366.30 - $680.20/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Connect to the graph platform by ensuring connectors extract and normalize metadata, permissions ... Opportunities to learn and grow through on‑demand libraries (LinkedIn Learning, O'Reilly ...

Veeam Software

Director, Connectors

San Jose, CA · On-site

$296K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Connect to the graph platform by ensuring connectors extract and normalize metadata, permissions ... Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O'Reilly ...

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Showing results 21-40

All JobsMetadata Library JobsMetadata Library Jobs in Santa Clara, CA

Metadata Library information

See Santa Clara, CA salary details

$10

$21

$32

How much do metadata library jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for metadata library in Santa Clara, CA is $21.94, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $24.86 per hour, depending on experience, location, and employer.

What is a metadata librarian?

Metadata librarians are information professionals who manage and organize metadata, which is data that describes other data, for library collections. They create, edit, and maintain metadata records to ensure resources are discoverable, accessible, and properly described in library catalogs and digital repositories. Their work supports searchability, digital preservation, and resource sharing by applying standards and best practices for cataloging. Metadata librarians often collaborate with IT staff, archivists, and subject specialists to enhance user access to library materials.

What is the difference between Metadata Library vs Metadata Specialist?

AspectMetadata LibraryMetadata Specialist
CredentialsTypically requires a degree in library science, information management, or related fieldsRequires similar credentials, often with additional certifications in data management or information systems
Work EnvironmentLibraries, archives, or information centers managing large metadata collectionsData-driven organizations, digital repositories, or information management teams
Employer & IndustryLibraries, museums, archives, academic institutionsTech companies, publishing, digital content providers
Search & Comparison IntentUnderstanding library metadata management rolesSpecialized data and metadata management tasks

The main difference is that a Metadata Library focuses on managing metadata within library and archival settings, while a Metadata Specialist handles metadata in broader digital and data environments. Both roles require similar credentials but serve different industry needs.

What are common challenges faced by professionals working in a metadata library role, and how can they be addressed?

Professionals in a metadata library role often encounter challenges such as maintaining consistency and accuracy in metadata standards across diverse collections, keeping up with evolving cataloging guidelines, and integrating new technologies or platforms. Addressing these challenges typically involves ongoing training, collaboration with colleagues to develop clear metadata policies, and staying informed about industry best practices. Regular communication with IT teams and subject specialists is also key to ensuring that metadata effectively supports discoverability and access for library users.

What skills and qualifications are needed to thrive as a metadata librarian?

To thrive as a Metadata Librarian, you need expertise in cataloging standards (such as MARC, Dublin Core), metadata schema, and information organization, usually supported by a Master's in Library Science or a related field. Familiarity with integrated library systems (ILS), metadata management tools, and knowledge of cataloging software like OCLC Connexion is typical. Attention to detail, analytical thinking, and strong communication skills help ensure accuracy and facilitate collaboration with library staff. These skills and qualities are crucial to maintaining accessible, well-organized digital and print collections that support user discovery and research.

What are popular job titles related to Metadata Library jobs in Santa Clara, CA?

For Metadata Library jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Metadata Library jobs in Santa Clara, CA look for?

The top searched job categories for Metadata Library jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Metadata Library jobs?

Cities near Santa Clara, CA with the most Metadata Library job openings:

Metadata Library jobs near you
Infographic showing various Metadata Library job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $45,637 per year, or $21.9 per hour.

Senior Data Scientist - Special Projects

Apple

Cupertino, CA • On-site

Full-time

Re-posted 9 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Apple's intelligent systems generate rich, multi-modal data from devices, sensors, software, and services. We're looking for a data scientist who can bring clarity to this complexity - someone who can analyze diverse datasets, surface meaningful insights, and design intuitive tools that help teams understand and improve the intelligence behind Apple products.
You'll work across the full data lifecycle: discovering signals in large-scale distributed logs, building search and retrieval mechanisms to make data accessible, and crafting interactive visualizations and evaluations that guide product direction and system performance.
Description
Our team works at the intersection of hardware, software, and intelligence. We design the systems, infrastructure, and tools that enable Apple's next generation of AI-driven experiences - from on-device middleware and distributed inference platforms to large-scale data pipelines, interactive analytics, and advanced developer tooling. We collaborate closely with hardware, robotics, ML, design, and platform teams to build end-to-end solutions that are performant, intuitive, and deeply integrated into Apple's ecosystem. The work is hands-on, highly cross-disciplinary, and central to shaping how Apple's intelligent systems evolve.
Minimum Qualifications
Proven experience in data science, analytics engineering, or applied research roles
Strong proficiency in Python and common data analysis libraries
Expertise with data visualization tools or frameworks for building interactive dashboards
Experience querying and modeling data in SQL and NoSQL environments
Ability to analyze large-scale, high-dimensional, and multi-modal datasets
Familiarity with designing or using search and retrieval systems for large-scale data
Experience designing KPIs, evaluation metrics, or experiment analyses for complex systems
Strong statistical intuition and experience with exploratory data analysis and hypothesis testing
Ability to translate complex findings into clear, actionable insights for cross-functional teams
Bachelor's or Master's degree in Data Science, Computer Science, Applied Mathematics, or related field, and 5+ years of industry experience
Preferred Qualifications
Experience working with data from distributed or real-time systems, robotics, or multi-modal AI
Familiarity with information retrieval techniques (ranking, embedding-based search, relevance modeling)
Experience collaborating with ML teams on evaluation methodologies, dataset design, or model diagnostics
Knowledge of metadata management systems, cataloging approaches, or data documentation strategies
Background in statistical modeling, time-series analysis, or anomaly detection
Experience with visualization frameworks used for large datasets
Understanding of cloud-scale data processing and distributed compute frameworks

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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