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Meta Data Analyst Jobs in California (NOW HIRING)

Meta

Data Engineer, Product Analytics

Fremont, CA · On-site +1

$177K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... This could include roles such as data analyst, data scientist, data engineer, or similar positions ...

Meta

Data Engineer, Product Analytics

San Francisco, CA · On-site +1

$147K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... This could include roles such as data analyst, data scientist, data engineer, or similar positions ...

Meta

Data Engineer, Product Analytics

Burlingame, CA · On-site +1

$147K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... This could include roles such as data analyst, data scientist, data engineer, or similar positions ...

Meta

Data Engineer, Product Analytics

Sunnyvale, CA · On-site

$147K - $208K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... This could include roles such as data analyst, data scientist, data engineer, or similar positions ...

Meta

Data Center Site Selection Manager

Menlo Park, CA

$202K/yr

Meta designs, builds, leases, and operates highly efficient data centers. Locating, developing, and ... Proficiency in standard document and analytics platforms Preferred Qualifications: * Demonstrated ...

Midi Health

Data Analyst, Growth

San Francisco, CA · Hybrid

Director Data Science + Analytics About the Role Join Midi Health as a Growth Analyst. As we scale ... Ad Platform dashboards (Meta, Google, etc.). * Analytical Capabilities: Ability to analyze ...

Meta

Partner Manager, Network Investments

Menlo Park, CA · On-site +1

$162K/yr

Meta's mission is to give people the power to build community and bring the world closer together ... Experience analyzing market and technical data into strategic plans * Experience with analytical ...

Quince

Staff Data Analyst

Palo Alto, CA

The Ideal Candidate You are a highly analytical problem solver who is excited about using data ... Familiarity with major advertising platforms and measurement ecosystems, including Meta, Google ...

Midi Health

Data Analyst, Growth

San Francisco, CA · On-site +1

Director Data Science + Analytics About the Role Join Midi Health as a Growth Analyst. As we scale ... Ad Platform dashboards (Meta, Google, etc.). * Analytical Capabilities: Ability to analyze ...

Meta

Economic Development Manager

San Francisco, CA

$154K/yr

Meta designs, builds, leases and operates the most innovative and efficient data centers in the ... Gather and analyze investment and employment related data to drive decisions for future site ...

Meta

Machine Learning SoC Architect

Menlo Park, CA

$212K/yr

... analysis, pre-silicon modeling, and microarchitectural exploration of custom ASICs designed for Meta's Data Centers. In this role, you will own ASIC architecture specification, establish the ...

New

Meta

Economic Development Manager

Menlo Park, CA

$154K/yr

Meta designs, builds, leases and operates the most innovative and efficient data centers in the ... Gather and analyze investment and employment related data to drive decisions for future site ...

Adyen

Senior Data Analyst

San Francisco, CA · On-site

$169K - $232K/yr

... Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen ... Senior Data Analyst, Customer Interfaces We are seeking a high-impact, product-minded Senior Data ...

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All JobsMeta Data Analyst JobsMeta Data Analyst Jobs in California

Meta Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do meta data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for meta data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a meta data analyst?

As a Meta Data Analyst, your daily tasks often include collecting, organizing, and maintaining metadata that describes an organization's data assets. You will collaborate closely with data engineers, business analysts, and IT teams to ensure data assets are accurately documented and easily accessible. Reviewing and updating data dictionaries, applying data governance frameworks, and supporting compliance efforts are also common aspects of the role. Staying up-to-date with best practices and troubleshooting data lineage or quality issues are part of your routine, making attention to detail and proactive communication critical for success.

Is it still worth it to become a meta data analyst in 2026?

Meta Data Analysts are in demand for managing and interpreting large datasets, especially as organizations increasingly rely on data-driven decision-making. Skills in database management, data visualization tools, and programming languages like SQL or Python enhance job prospects, which are expected to remain stable through 2026 due to ongoing growth in data analytics needs.

What are the key skills and qualifications needed to thrive as a meta data analyst?

To thrive as a Meta Data Analyst, you need a strong background in data management, information systems, and data governance, often supported by a degree in computer science or information technology. Familiarity with metadata management tools (such as Collibra or Informatica), database systems, and knowledge of relevant data privacy and compliance standards is crucial. Attention to detail, analytical thinking, and strong communication skills help analysts effectively document metadata and collaborate with cross-functional teams. These skills are essential to ensure accurate data cataloging, facilitate data quality, and support efficient data-driven decision-making across an organization.

What is a meta data analyst?

A Meta Data Analyst is responsible for managing and analyzing metadata, which is data about data, to improve data governance, discoverability, and quality. They work with databases, data catalogs, and systems to ensure accurate metadata tagging and organization. Their role supports data management strategies by enhancing data lineage, classification, and compliance with industry standards. Meta Data Analysts collaborate with data engineers, scientists, and business teams to optimize data usability and accessibility.

What are the most commonly searched types of Meta Data Analyst jobs in California? The most popular types of Meta Data Analyst jobs in California are:
What are popular job titles related to Meta Data Analyst jobs in California? For Meta Data Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Meta Data Analyst jobs in California look for? The top searched job categories for Meta Data Analyst jobs in California are:
What cities in California are hiring for Meta Data Analyst jobs? Cities in California with the most Meta Data Analyst job openings:
Meta Data Analyst jobs near you
Infographic showing various Meta Data Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Data Engineer, Product Analytics

Meta

Fremont, CA • On-site, Remote

$177K/yr

Full-time

Re-posted 26 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 242 rated software companies

Job description

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities:
  • Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
  • Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
  • Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way
  • Define and manage Service Level Agreements for all data sets in allocated areas of ownership
  • Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
  • Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
  • Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
  • Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
  • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
  • Influence product and cross-functional teams to identify data opportunities to drive impact
  • Mentor team members by giving/receiving actionable feedback

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 7+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
  • 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)

Preferred Qualifications:
  • Master's or Ph.D degree in a STEM field
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$177,000/year to $247,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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