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Meta Data Analyst Jobs in California (NOW HIRING)

Meta

Systems Integration Engineer

Menlo Park, CA

$173K/yr

Lead architecture reviews with hardware engineering teams to analyze and develop diagnostic ... Partner with cross functional partners in Meta's Data Center Operations team to understand ...

West Advanced Technologies (WATI)

Data Modeler

Sacramento, CA · On-site

$50.75 - $65.75/hr

Three (3) years of demonstrated experience evaluating data using statistical analysis techniques ... Meta data and utilizing ETL tools to load a data store, data shares, data warehouse, or data mart.

Meta

Data Engineer, Product Analytics

Burlingame, CA

$114K/yr

By joining Meta, you will become part of a data engineering community dedicated to skill ... This could include roles such as data analyst, data scientist, data engineer, or similar positions

Meta

Data Engineer, Product Analytics

Menlo Park, CA

$114K/yr

By joining Meta, you will become part of a data engineering community dedicated to skill ... This could include roles such as data analyst, data scientist, data engineer, or similar positions

Meta

Data Engineer, Product Analytics

Menlo Park, 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

Partner Manager, Network Investments

Menlo Park, CA · On-site

$162K - $227K/yr

... connect Meta's data centers (DCs), Edge Points of Presence (PoPs) and Meta Network Appliances ... This role requires a strong background in strategy development, financial analysis, telecom ...

Meta

Data Engineer, Product Analytics

Menlo Park, 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

Sunnyvale, 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 ...

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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.

Systems Integration Engineer

Meta

Menlo Park, CA

$173K/yr

Full-time

Re-posted 29 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

The Systems Integration Engineer (SIE) is responsible for the successful Integration of new hardware platforms & new infrastructure technologies into the data center. This includes leading the system design for serviceability (DFS) requirements development, implementation along with validating new data center hardware tooling & automation readiness for deployment at scale. Meta is seeking a forward-thinking, experienced engineer with deep technical leadership experience and skills in Server Hardware, high performance Compute, Storage, ASICs, Accelerators (GPU), and/or Networking in a data center environment.These skills will be used to develop test plans for operational integration of future AI/ML, compute, storage and networking products into the existing software tooling infrastructure. The candidate shall also have good knowledge of the AI/ML system architecture at the block level with hands-on skills to triage the systematic failures in the field.This role will interact with cross functional teams and individuals across engineering, operations, and leadership teams. This role requires an experienced, dedicated professional to effectively collaborate and influence internal stakeholders on the validation of infrastructure tooling support for Meta designed hardware.In this role, you will work on a small team focused on solving complex systems integration challenges across Meta's data center infrastructure.
Systems Integration Engineer Responsibilities:
  • Lead new product introduction and associated processes for the successful launch of new hardware platforms into our data centers globally
  • Lead architecture reviews with hardware engineering teams to analyze and develop diagnostic coverage plans for both hardware and software
  • Lead hardware reviews and drive system Design for Serviceability requirements to ensure form, fit and function for new hardware development in our existing data center environment/architecture
  • Lead the development and execution of Data Center readiness tooling validation testing based on tooling development plans
  • Early engagement with design development teams (both internal and external) to drive improvements and influence hardware and tooling architecture
  • Partner with cross functional teams & development partners to deliver aligned new hardware platform roadmaps and gain agreement on implementation milestones
  • Partner with cross functional partners in Meta's Data Center Operations team to understand infrastructure deployment and operational requirements
  • Collaborate with Production Engineers, Hardware Validation Engineers, Tooling Automation Engineers, and Data Center Operations Engineers to build thorough test strategy and test plans for validating the software needed for Data Center Operations
  • Work with ODM/OEM vendors as needed to define the product specifications, development plans & test plans
  • Capture lessons learned for issues in Production and create test cases to address those issues in future hardware platforms
  • 25% domestic and/or international travel required to Meta Data Centers/ offices

Minimum Qualifications:
  • BS in Engineering or relevant technical field, or commensurate technical experience
  • 10+ years of experience in system administration or engineering, hardware validation testing and/or acceptance testing of AI/ML, compute, storage or networking equipment
  • Strong communications skills and demonstrated ability to influence cross functional teams
  • Strong interpersonal skills and a solution-oriented attitude
  • Proven track record of dealing with ambiguity and developing processes for new technologies and taking them to production
  • Experience developing test plan derived from specifications and executing to those plans using industry standard testing tools for successful completion
  • Strong technical aptitude demonstrated by familiarity with ASIC, compute, storage & network architecture and components, hardware troubleshooting and diagnosis capabilities, and/or hardware manufacturing
  • Experience working in a global environment with geographically distributed teams
  • Experience coding in higher-level languages (e.g., Python, PHP, C++, or Java)
  • Experience learning software, frameworks and APIs
  • Experience with operational validation methods and verification activities for the new product integration
  • Experience building cross-functional relationships and influencing policies and procedures to improve hardware platform integration

Preferred Qualifications:
  • Experience with Linux operating systems and utilities
  • Experience with test-driven software development
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with hardware development and lifecycle management
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience with AI/ML hardware development and deployment at scale
  • Knowledge of out-of-band/lights-out server communication methods, such as IPMI and serial console
  • Proficiency with git or similar SCM tools
  • Master's or PhD in Electrical, Industrial or Manufacturing engineering
  • Experience with developing for, or managing large-scale server installations

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.
$173,000/year to $245,000/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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