1

Metadata Internship Jobs in California (NOW HIRING)

Software Dev Engineer III, Redshift

East Palo Alto, CA · On-site

$67.75 - $91/hr

Our team owns the critical foundation that underpins Redshift's storage, metadata, durability, and ... BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ ...

This internship is designed to provide hands-on experience in marketing, process development ... case metadata. * Analyze key friction points in manual processes to propose and prototype AI ...

This is not an internship. Analytics, A/B split testing, experiments, conversion rates should be ... Improve SEO rankings through technical Web site enhancements, linking strategies, copy/metadata ...

Experience working with geospatial data (GIS), temporal event logging, or incorporating external metadata (like environmental factors) into datasets. $19 - $65 an hour Our internship hourly rates are ...

Optimize metadata (titles, descriptions, H1/H2 structure) * Improve internal linking strategy ... not a passive internship. You will gain exposure to: * OTT platform growth strategy * FAST ...

Manage project folders, metadata, release forms, and other essential assets in coordination with ... Bring Your VIBE: * 1-2 years of relevant experience (internships, agency work, or previous ...

next page

Showing results 1-20

Metadata Internship information

What is a Metadata Internship job?

A Metadata Internship is a training position where interns assist with organizing, categorizing, and managing metadata for digital or physical assets. Metadata refers to the descriptive information about data, such as tags, keywords, descriptions, and classifications that improve accessibility and retrieval. Interns may work with databases, content management systems, or digital libraries to ensure metadata accuracy and consistency. This role is common in industries like media, publishing, libraries, and technology, where proper data organization is crucial. It's an excellent opportunity to gain hands-on experience in data management, digital archiving, and information science.

What are the key skills and qualifications needed to thrive in the Metadata Internship position, and why are they important?

To thrive as a Metadata Internship, you need strong organizational skills, attention to detail, and familiarity with data management principles, often supported by coursework in information science or library studies. Knowledge of metadata standards (such as Dublin Core, MARC), experience with database management systems, and proficiency in tools like Excel or specialized content management systems are valuable. Effective communication, critical thinking, and a collaborative mindset help interns excel in team-based projects and resolve data-related challenges. These skills are important for accurately categorizing, managing, and maintaining the quality and accessibility of digital information—a core function in many organizations.

What types of projects or tasks can I expect to work on during a Metadata Internship?

As a Metadata Intern, you will typically assist with organizing, cataloging, and updating digital assets or records using established metadata standards. Your day-to-day tasks may include reviewing datasets for accuracy, entering descriptive information into databases, and collaborating with team members on data cleanup or migration projects. You might also support quality assurance efforts and participate in meetings about optimizing metadata workflows. This hands-on experience will help you develop technical skills and gain a deeper understanding of how structured data supports larger organizational needs.

What are the most commonly searched types of Metadata jobs in California? The most popular types of Metadata jobs in California are:
What cities in California are hiring for Metadata Internship jobs? Cities in California with the most Metadata Internship job openings:
Infographic showing various Metadata Internship job openings in California as of July 2026, with employment types broken down into 13% Internship, 25% Full Time, 49% Part Time, and 13% Temporary. Highlights an 100% In-person job distribution.
Senior Software Engineer - Custom Data

Senior Software Engineer - Custom Data

Bloomberg LP

San Francisco, CA • On-site

$144K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

12th of 245 rated software companies


Job description

Senior Software Engineer - Custom Data
Location
San Francisco
Business Area
Engineering and CTO
Ref #
10052721
Description & Requirements
Our team
The Custom Data team helps clients to bring their firm's private datasets into the Bloomberg ecosystem. It lets them link proprietary data stores directly to the Terminal and across our Enterprise suite, so teams can collaborate on the same live data, tailor workflows end-to-end, and embed custom analytics at every stage of the investment cycle (from idea generation through execution and post-trade reporting).
For buy-side firms like mutual funds, hedge funds and pensions, Custom data transforms the Terminal from a solo research tool into a shared intelligence platform.
The Custom Data platform delivers a managed infrastructure encompassing the end-to-end lifecycle of proprietary institutional data.
Key Capabilities
  • Metadata and Access Management: Offers tools to define metadata for proprietary data and manage access to govern data access.
  • Ingest Pipelines: Provides both interactive and batch ingest pipelines to facilitate the transfer of data from the client environment into the Bloomberg ecosystem.
  • Rich Key Structure: Enables clients to store data against a combination of one or more financial attributes.
  • Auditing Capabilities: Ensures the transparency and 'paper trail' necessary for regulatory compliance and internal data integrity.
  • APIs for Integration: provides standardized Read APIs that seamlessly embed data within Bloomberg's ecosystem, including the Terminal, execution platforms, and risk workflows.
  • Data Extraction: Supplies Data and Audit feeds to facilitate the extraction of client-provided data outside the Bloomberg ecosystem.

System Scale and Performance:
  • The system processes in excess of 250 million daily requests, comprising 150 million metadata requests and 100 million read queries.
  • It serves approximately 65 billion data points across interactive, reporting, batch, and screening applications.
  • The platform manages data for 11,000 firms, encompassing 365,000 unique fields.
  • It maintains stringent latency requirements to support real-time Bloomberg Terminal workflows.

We'll trust you to:
  • Design and implement features in the product while adhering to strict latency requirements.
  • Write maintainable and production-quality code.
  • Contribute to system design and refactor Python and C++ services to follow clean, single-responsibility principles.
  • Evaluate next-generation storage solutions.
  • Modernize Custom data integration with standard Bloomberg APIs.
  • Own observability from metrics to dashboards, defining clear SLIs and SLOs.
  • Design tools to improve team oncall/operational experience.
  • Partner with other enterprise teams in Bloomberg to evolve the future of Custom data at Bloomberg.
  • Mentor junior engineers in the team on best engineering practices.

You'll need to have:
  • 4+ years of experience in backend engineering, ideally with Python
  • Strong system design and debugging skills in production environments
  • Familiarity with distributed messaging or stream-processing frameworks (Kafka preferred)
  • Familiarity with relational and noSQL datastores at Bloomberg (Cassandra preferred)
  • A strong product mindset paired with genuine empathy for client needs
  • A degree in Computer Science, Engineering, or equivalent work experience

We'd love to see:
  • Familiarity with Python standards and tooling
  • Background in distributed systems like Kafka, Redis, Cassandra, or HBase
  • Experience with CI/CD pipelines, automated testing, or system observability
  • Exposure to containerized environments using Docker or Kubernetes

Salary Range = 160,000 - 240,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

What Bloomberg employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Bloomberg logo

About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981