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Meta Data Analyst Jobs in Virginia (NOW HIRING)

Meta is seeking an experienced and self-motivated Reliability Engineer to join our Asset Management ... Proficient in data analysis techniques that can include Process Control, Reliability modeling and ...

Meta's energy footprint is scaling faster than any single team can assess end to end. We have deep specialist strength across data, analytics, asset management, and energy origination -- but the ...

Meta is seeking an experienced and self-motivated Reliability Engineer to join our Asset Management ... data analysis techniques that can include Process Control, Reliability modeling and prediction ...

Meta designs, builds, and operates some of the most energy-intensive and innovative data centers in the world. As global demand for compute capacity gro.

Meta is seeking a Network Engineer to join our Site Services and Edge Network Services (ENS ... Analyze operational data including fault trends, deployment metrics, and vendor performance to ...

Data Scientist

Springfield, VA · On-site

$130K - $150K/yr

... meta modeling, AI, and neural network analysis. Candidate must be self-motivated and ready to ... Data analysis competency with mathematical programming languages (i.e., MATLAB, Python, R, etc.) or ...

Fluent command of meta data best practices including but not limited to: meta descriptions, meta keywords, Google Analytics and various other search engine algorythms. * The ability to design a ...

Coordinate with Meta's Energy Analytics team, market-participating affiliate, and/or third-party ... Maintain organized, auditable contract documents and data within team systems (Salesforce, shared ...

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Meta Data Analyst information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do meta data analyst jobs pay per year?

As of Jul 17, 2026, the average yearly pay for meta data analyst in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Meta Data Analysts and other data science roles do not have strict age limits; many professionals start or transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and experience are valued in the field, making age less of a barrier than skill and knowledge.

How to get into Meta as a data analyst?

To become a data analyst at Meta, candidates typically need a bachelor's degree in a related field such as statistics, computer science, or mathematics, along with strong skills in SQL, data visualization tools, and statistical analysis. Gaining experience through internships, projects, or certifications in data analysis or related areas can improve chances. Familiarity with Meta's tools and a solid understanding of data privacy and security are also beneficial.

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.

What are the key skills and qualifications needed to thrive in the Meta Data Analyst position, and why are they important?

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.

How much does a Meta data analyst make?

A Meta Data Analyst typically earns between $60,000 and $100,000 annually, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced analysts with advanced skills in data management and analytics tools can earn higher salaries.

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

Meta Data Analysts are in demand as organizations rely on data-driven decision-making, and skills in SQL, Excel, and data visualization tools remain valuable. The role is expected to grow with increasing data volumes, making it a viable career choice for those with strong analytical and technical skills.

What is a Meta Data Analyst job?

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 Virginia? The most popular types of Meta Data Analyst jobs in Virginia are:
What cities in Virginia are hiring for Meta Data Analyst jobs? Cities in Virginia with the most Meta Data Analyst job openings:
Infographic showing various Meta Data Analyst job openings in Virginia as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.
Reliability & Asset Management

Reliability & Asset Management

Meta

Henrico, VA

$143K/yr

Full-time

Posted 5 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies


Job description

Meta is seeking an experienced and self-motivated Reliability Engineer to join our Asset Management & Reliability team within Facility Operations. This person will work at the leading edge of Facility Operations to identify and manage asset reliability risks and various stages of end-to-end asset lifecycle for the Data Center Operations. Managing stakeholders spread across time zones and key to the success of our individual projects and overall asset management, and reliability program. In this role, you will be expected to set the direction for your focus areas, drive scoping and roadmapping for reliability initiatives, and tackle the most complex technical ambiguities at the fleet level to ensure seamless operations across new and existing sites.
Reliability & Asset Management Responsibilities:
  • Lead operational Failure Mode and Effects Analysis (FMEA) and establish maintenance strategies.
  • Manage and govern content for the Global Maintenance Library, ensuring rigorous Maintenance Change Management processes are followed.
  • Drive Corrective Maintenance initiatives through deep Failure Mode Analysis to identify root causes and implement preventive measures.
  • Evaluate regulatory and compliance requirements, providing governance and ensuring adherence across all reliability activities.
  • Oversee Condition-Based Monitoring and Diagnostics programs, including testing, vibration analysis, infrared (IR), partial discharge (PD), and robotics applications.
  • Assess and optimize Mean Time To Repair (MTTR) and Mean Time Between Failures (MTBF) metrics to drive continuous improvement.
  • Develop and maintain continuous production risk models to prioritize resources and mitigate operational vulnerabilities.
  • Manage non-critical scope and oversee supplier scope management to ensure external partners meet reliability and quality standards.
  • Implement and optimize sensor-based condition monitoring and maintenance (e.g., infrared, temperature, pressure, flow, leak detection) to remotely monitor and assign maintenance tasks.
  • Drive technical insourcing versus outsourcing decision-making for maintenance and reliability activities.
  • Establish Service Bill of Materials (BOM) setups and drive initial and continuous spares selection processes.
  • Develop and execute a comprehensive whole-equipment sparing strategy to minimize downtime.
  • Identify First-of-Kind (FOK) parts and establish Parts Factory Base Part Number (FBPN) setups.
  • Conduct Form-Fit-Function technical analysis to evaluate and approve replacement components.
  • Act as the primary liaison to IBOS and ISCE teams for managing replacement parts backlog, timeliness, tooling requirements, and auditing.
  • Create scope for yourself and others by identifying reliability opportunities and driving engineering excellence across the team.

Minimum Qualifications:
  • Bachelor’s degree in Mechanical, Electrical, Reliability Engineering, or a similar technical discipline plus 8+ years relevant industry experience will be considered in lieu of 10+ years relevant industry experience
  • 10+ years of experience in reliability engineering (related to electrical or mechanical cooling equipment) or related Engineering roles
  • Experienced in Reliability Centered Maintenance (RCM) and Failure Mode and Effects Analysis (FMEA) activities for maintenance, process, and equipment design optimization to meet reliability requirements
  • Proven ability to independently scope work, set technical direction, and manage complex problems with high ambiguity
  • Proficient in the usage of Enterprise Asset Management (EAM) solutions to extract data and develop meaningful insights
  • Knowledgeable of relevant ISO standards (ISO 14224, ISO 17359, ISO 55000)
  • Experience with program/project management and cross-functional team leadership
  • Ability to travel 25% domestically and internationally

Preferred Qualifications:
  • Experience with data center equipment such as critical cooling systems, generators, main switchboards, and network gear
  • Proficient in data analysis techniques that can include Process Control, Reliability modeling and prediction, Fault Tree Analysis, Weibull Tree Analysis, and Six Sigma (6σ) Methodology
  • Proficient in developing and executing comprehensive test plans for assets
  • Experience stepping into technical leadership gaps to advocate for high-quality engineering standards
  • Certifications in Maintenance & Reliability such as CMRP, CRL, or CRE

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.
$143,000/year to $198,000/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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