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Data Taxonomy Jobs in California (NOW HIRING)

Sr. Data Architect Specialist

Brea, CA · On-site

$69.25 - $92.75/hr

... taxonomy frameworks. • Define data lineage, ownership, and metadata management practices. • Partner with Data Engineering to ensure governance is embedded in pipelines and systems. • Design how ...

Lead Data Engineer, Data Platform

San Francisco, CA · On-site

$134K - $162K/yr

Partner with product and engineering to improve instrumentation, event taxonomy, data contracts, and telemetry coverage for new features. * Make data self-serve through clear dashboards, documented ...

Research Engineer, Multimodal Data

San Francisco, CA · On-site

$134K - $162K/yr

Eventual is a company focused on revolutionizing data processing for Physical AI systems. As a ... taxonomy to landing it in production inference at corpus scale. • Train, fine-tune, and evaluate ...

Lead Data Engineer, Data Platform

San Francisco, CA · On-site

$134K - $162K/yr

Partner with product and engineering to improve instrumentation, event taxonomy, data contracts, and telemetry coverage for new features. * Make data self-serve through clear dashboards, documented ...

System & Data Scientist

Sunnyvale, CA · On-site

$209K - $298K/yr

Build and maintain a taxonomy of behavioral competencies (e.g., merging, yielding, unprotected ... Recommend minimal data slices needed to support safe and predictable system performance in a new ...

Senior Data Scientist

Sunnyvale, CA · Hybrid

$209K - $298K/yr

Build and maintain a taxonomy of behavioral competencies (e.g., merging, yielding, unprotected ... Recommend minimal data slices needed to support safe and predictable system performance in a new ...

Lead Data Engineer, Data Platform

San Francisco, CA · On-site

$134K - $162K/yr

Partner with product and engineering to improve instrumentation, event taxonomy, data contracts, and telemetry coverage for new features. * Make data self-serve through clear dashboards, documented ...

AI Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

... taxonomy mappings, and enriched datasets to ground AI applications • Implement ETL/ELT processes using dbt, Fivetran, or similar tools with a focus on reliability and maintainability • Document ...

Deep understanding of the ML data lifecycle: labeling, taxonomy design, quality control, and data curation. * Experience with ML Data Flywheel and working understanding of ML development life cycle ...

Administrative - File Clerk I

Burbank, CA · On-site

$16.50 - $20.50/hr

Use company-provided multifunctional scanning devices (MFDs) to digitize physical files and upload them into the electronic data management system, following company indexing and taxonomy guidelines.

Showing results 21-40

Data Taxonomy information

What are some typical challenges faced when developing and maintaining a data taxonomy within an organization?

One common challenge when working in data taxonomy is ensuring consistency across different departments that may use varied terminology or classification standards. Data taxonomists often need to facilitate collaboration between stakeholders to agree on definitions and structures, which requires strong communication and negotiation skills. Another challenge is keeping the taxonomy up-to-date as business needs and data sources evolve, necessitating regular reviews and updates. Successfully navigating these issues helps improve data discoverability, governance, and overall business intelligence.

What is the difference between Data Taxonomy vs Data Analyst?

AspectData TaxonomyData Analyst
Primary FocusOrganizing and classifying data structuresAnalyzing data to extract insights
Skills & CertificationsData modeling, taxonomy development, data management certificationsStatistical analysis, SQL, data visualization skills
Work EnvironmentData management teams, data governance departmentsBusiness units, analytics teams
Industry UsageData governance, information architectureBusiness intelligence, reporting

Data Taxonomy involves creating structured classifications for data assets, ensuring consistency and clarity across systems. Data Analysts focus on interpreting data to support decision-making. While both roles work with data, Data Taxonomy emphasizes data organization, whereas Data Analysts analyze data for insights.

What are the key skills and qualifications needed to thrive as a data taxonomist, and why are they important?

To thrive as a Data Taxonomist, you need a strong background in information science, data organization, and metadata management, often supported by a degree in library science, information systems, or a related field. Familiarity with taxonomy management tools, data modeling software, and standards such as SKOS or RDF is commonly required. Attention to detail, analytical thinking, and effective communication are essential soft skills for collaborating across teams and ensuring data consistency. These skills and qualifications are crucial for creating structured data frameworks that improve data discoverability, usability, and governance.
What are popular job titles related to Data Taxonomy jobs in California? For Data Taxonomy jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Data Taxonomy jobs? Cities in California with the most Data Taxonomy job openings:
Infographic showing various Data Taxonomy 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.

Local Intent Data Mining Specialist

NewsBreak

Mountain View, CA

$112K/yr

Full-time

Re-posted 20 days ago


Job description

About NewsBreak

Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.

Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.

Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.

If you're inspired to dream big, innovate fast, and make a difference, we'd love to hear from you! For more information, visit www.newsbreak.com/about

About the role

You will build the systems that understand what local consumers actually want — turning raw queries, behavior, and context into structured intent. This means query understanding, user-intent classification, semantic search, and the intent taxonomies and interest graphs that power discovery across local categories. You will bring LLMs into production, not the lab, to make local search and recommendations genuinely understand consumer intent.

What you'll do
  • Build query-understanding, user-intent classification, and semantic-search models for local consumer demand.
  • Design and grow intent taxonomies and interest graphs over local categories and merchants.
  • Ship LLM-powered features into production for search and recommendations at consumer scale.
  • Work with embeddings, retrieval, and NLU to connect messy consumer language to local supply.
  • Define metrics and run experiments that tie intent quality to downstream conversion.
What we're looking for
  • 5+ years as an Applied Scientist or ML Engineer on query understanding, intent, semantic search, or NLU.
  • Production experience shipping models that serve real users — not purely offline or research work.
  • Hands-on with embeddings, semantic search, intent classification, taxonomy, or interest-graph construction.
  • Experience bringing LLMs into production systems.
  • Comfort working at consumer-internet data scale.
Nice to have
  • Background at Google Search / Ads quality, Meta, TikTok, Pinterest, DoorDash, Instacart, Amazon Search/Alexa, or Apple.
  • Built a user-intent taxonomy or interest graph at a consumer internet company.
  • Consumer-intent or personalization work specifically at a local platform (DoorDash, Instacart).
The US base salary range for this full-time position is listed below. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. At NewsBreak, we design our overall rewards package to attract top talents. Depending on the position, the role may also be eligible for discretionary bonus and options. Your recruiter can share more details during the hiring process.
Annual Base Pay Range
$112,000—$293,000 USD

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