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Remote Metadata Jobs in California (NOW HIRING)

MemorialCare

Manager, Sourcing Operation

Fountain Valley, CA · On-site +1

$118K - $177K/yr

Fountain Valley/Predominantly Remote Department: Supply Chain Analytics Status: Full Time Shift ... Ensure data integrity: supplier master, contract metadata, category taxonomy, and project tracking ...

HMC Architects

BIM Manager

San Jose, CA · On-site +1

$94K - $136K/yr

This position is eligible for hybrid (office/remote) working arrangement and flexible working hours ... Elevate metadata quality, promote best practices, and ensure strategic information management ...

Wsgr

Principal Solutions Engineer

Los Angeles, CA · On-site +1

This position is available as a hybrid or fully remote work schedule. Responsibilities: Solution ... API design, message queues, ETL/ELT, data modeling, metadata/taxonomy, search indexing. * Dev ...

Cloudera

Senior Software Engineer

San Jose, CA · On-site +1

$143K - $189K/yr

Proven experience developing REST-based services, with a specific focus on metadata services ... Employee Resource Groups EEO/VEVRAA #LI-HYBRID #LI-REMOTE #LI-BV1

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All JobsRemote Metadata JobsRemote Metadata Jobs in California

Remote Metadata information

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

To excel as a Remote Metadata Specialist, you need a deep understanding of information management, data organization, and metadata standards, often backed by a degree in library science, information systems, or a related field. Familiarity with metadata management tools (e.g., DAM systems, XML, Dublin Core), database systems, and sometimes certifications such as Certified Records Manager (CRM) are highly valued. Strong attention to detail, analytical thinking, and effective virtual communication are standout soft skills for this role. These competencies are essential to ensure data is accurately structured, easily retrievable, and supports organizational objectives in a distributed work environment.

What is a Remote Metadata job?

A Remote Metadata job involves managing, organizing, and ensuring the accuracy of metadata for digital content, databases, or other assets from a remote location. Responsibilities may include tagging, categorizing, and maintaining metadata standards to improve searchability and data integrity. These roles are common in industries like media, publishing, e-commerce, and information management. Strong attention to detail, familiarity with metadata standards, and proficiency in data management tools are often required.

How can I make 2000 a week working from home?

Remote metadata roles often pay based on the number of tasks completed or hours worked, with some freelancers earning around $2000 weekly by handling large volumes of data annotation, tagging, or cataloging tasks. Success depends on skills, efficiency, and access to platforms that offer consistent work, such as freelance marketplaces or specialized data companies. Building a strong reputation and acquiring relevant tools or certifications can help increase earning potential in this field.

What's the highest paid remote job?

Remote roles in executive management, such as Chief Executive Officers (CEOs) or Chief Financial Officers (CFOs), tend to be the highest paid, often earning six- or seven-figure salaries. Other high-paying remote jobs include specialized roles like software architects, data scientists, and cybersecurity directors, which require advanced skills and experience. Compensation varies based on industry, company size, and individual expertise.

What jobs pay 2000 a day?

High-paying freelance or consulting roles such as remote metadata specialists, data analysts, or project managers can earn around $2,000 per day, especially with specialized skills and experience. These roles often require advanced knowledge of data management, metadata standards, or industry-specific tools, and may involve contract or project-based work with flexible schedules.

Does Meta still do remote jobs?

Meta offers remote job opportunities across various roles, including positions related to data, engineering, and product management. The company has expanded its remote work options, especially following the shift in workplace policies during the pandemic, and many remote roles require strong digital communication skills and familiarity with collaboration tools.

What does a typical day look like for a Remote Metadata Specialist?

As a Remote Metadata Specialist, your day typically involves reviewing digital assets, assigning or updating metadata following industry standards, and collaborating with team members via virtual platforms. You may be responsible for quality-checking metadata for consistency and accuracy, troubleshooting data discrepancies, or developing new metadata taxonomies to improve searchability. Regular meetings with content creators, data managers, or IT professionals are common to align metadata practices with organizational goals. The role is often both independent and collaborative, offering a balance between focused tasks and teamwork, all within a flexible remote work environment.

What are the most commonly searched types of Metadata jobs in California? The most popular types of Metadata jobs in California are:
What are popular job titles related to Remote Metadata jobs in California? For Remote Metadata jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Metadata jobs in California look for? The top searched job categories for Remote Metadata jobs in California are:
What cities in California are hiring for Remote Metadata jobs? Cities in California with the most Remote Metadata job openings:
Remote Metadata jobs near you
Infographic showing various Remote Metadata job openings in California as of June 2026, with employment types broken down into 72% Full Time, 22% Part Time, and 6% Contract. Highlights an 100% Remote job distribution.
Software Engineer II, Big Data, tvScientific

Software Engineer II, Big Data, tvScientific

Pinterest

San Francisco, CA • Remote

$134K - $162K/yr

Other

Posted 28 days ago

Job description

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

As a Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data in optimal engines and formats. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization. 


What you'll do:

  • Design and implement robust data infrastructure in AWS, using Spark with Scala
  • Evolve our core  data pipelines to efficiently scale for our massive growth
  • Store data in optimal engines and formats, matching your designs to our performance needs and cost factors
  • Collaborate with our cross-functional teams to design data solutions that meet business needs
  • Design and implement knowledge graphs, exposing their functionality both via Batch Processing and APIs
  • Leverage and optimize AWS resources while designing for scale
  • Collaborate closely with our Data Science and Product teams
  • How we'll define success:
    • Successful design and implementation of scalable and efficient data infrastructure
    • Timely delivery and optimization of data assets and APIs
    • High attention to detail in implementation of automated data quality checks
    • Effective collaboration with cross-functional teams


What we're looking for:

  • Production data engineering experience
  • Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala is preferred
  • Experience in delivering significant technical initiatives and building reliable, large scale services
  • Experience in delivering APIs backed by relationship-heavy datasets
  • Familiarity with data lakes, cloud warehouses, and storage formats
  • Strong proficiency in AWS services
  • Expertise in SQL for data manipulation and extraction
  • Excellent written and verbal communication skills
  • Bachelor's degree in Computer Science or a related field
  • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
  • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
  • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
  • Nice-to-haves:
    • Experience in adtech
    • Experience implementing data governance practices, including data quality, metadata management, and access controls
    • Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
    • Familiarity with data table formats like Apache Iceberg, Delta
    • Previous experience building out a Data Engineering function
    • Proven experience working closely with Data Science teams on machine learning pipelines

In-Office Requirement Statement:

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.


Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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