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Meta Data Analyst Jobs in Washington (NOW HIRING)

Meta is seeking an experienced Estimating Manager specializing in Mechanical, Electrical, and ... Track and analyze MEP cost trends across the data center portfolio to improve estimate accuracy 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 Infrastructure Business Operations (Infrastructure Business Operations) is seeking an ... data analytics; project management; process optimization and organization structure; and deep ...

Meta designs, builds, leases, and operates the most innovative and efficient data centers in the ... Analytical problem-solving skills, experience being effective in a fast paced, hands-on work ...

As a Competitive Intelligence Lead in Meta's Competitive Intelligence organization, you will operate at the intersection of advanced analytics, data science, and market strategy. You will lead major ...

... meta-data tags to facilitate searching and reporting, and continuous outreach to attorneys and other firm members to collect missing data. * Verifies data accuracy within KM systems and ensures ...

Meta's Product Counsel organization provides strategic legal advice and risk mitigation to product ... Analyze new products, features, and business models to identify and mitigate legal risks across ...

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists ... Define and analyze metrics that inform the success of products. Identify and track key performance ...

Showing results 41-60

Meta Data Analyst information

See Washington salary details

$38.5K

$93.6K

$154K

How much do meta data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for meta data analyst in Washington is $93,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $109,900.00 per year, depending on experience, location, and employer.

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 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 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.

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 or grow through 2026.

What are the most commonly searched types of Meta Data Analyst jobs in Washington?

The most popular types of Meta Data Analyst jobs in Washington are:

What cities in Washington are hiring for Meta Data Analyst jobs?

Cities in Washington with the most Meta Data Analyst job openings:

Infographic showing various Meta Data Analyst job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $93,598 per year, or $45 per hour.

Estimating Manager, MEP - Data Center

Meta

Reston, VA

$150K/yr

Full-time

Re-posted 17 days ago


Key responsibilities

  • Lead the development of detailed MEP cost estimates for data center projects at all phases.

  • Establish and maintain MEP estimating standards, benchmarks, and unit cost databases.

  • Collaborate with design engineers, construction managers, and procurement teams to validate scope assumptions and identify cost risk areas.


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies


Job description

Meta is seeking an experienced Estimating Manager specializing in Mechanical, Electrical, and Plumbing systems to join our Data Center Design and Construction team. Our data centers form the backbone of Meta's global infrastructure, and accurate, rigorous cost estimating is critical to delivering these large-scale, mission-critical facilities on budget and on schedule. In this role, you will lead MEP cost estimating efforts across the full project lifecycle, from early concept through construction completion, ensuring capital efficiency and informed decision-making for some of the most technically complex building programs in the industry. In this role, you will develop and manage complex program, project, and system-level budgets using historical cost metrics, industry benchmarks, market analytics, and hands-on MEP cost estimating expertise.
Estimating Manager, MEP - Data Center Responsibilities:
  • Lead the development of detailed MEP cost estimates for data center projects at all phases, including conceptual, schematic, design development, and construction document stages
  • Establish and maintain MEP estimating standards, benchmarks, and unit cost databases specific to mission-critical and data center facility types
  • Evaluate mechanical systems including CRAC/CRAH units, cooling towers, chilled water plants, and air handling systems for accurate quantity takeoff and pricing
  • Evaluate electrical systems including medium-voltage switchgear, UPS systems, generators, PDUs, and low-voltage distribution for accurate quantity takeoff and pricing
  • Collaborate with design engineers, construction managers, and procurement teams to validate scope assumptions and identify cost risk areas during pre-construction
  • Develop and maintain cost models that support value engineering, design alternatives analysis, and lifecycle cost comparisons for MEP systems
  • Provide independent cost validation and reconciliation against general contractor and subcontractor bids for MEP scopes, including supporting pre-construction teams in negotiations with general contractors for projects that range from $10 million to $10+ billion dollars
  • Support the development of capital project budgets and rough-order-of-magnitude estimates for portfolio planning and investment decisions
  • Track and analyze MEP cost trends across the data center portfolio to improve estimate accuracy and inform future project benchmarks
  • Leverage third party tools and cost consultants to prepare estimates through multiple stages of project development in a fast-paced environment
  • Develop internal processes and initiatives around cost estimation that leverage internal cost data, resources and current market information from external vendors
  • Lead cost reviews with Pre-Construction and Project Managers that include 5-10 large complex project designs per year and multiple change orders on a weekly basis

Minimum Qualifications:
  • 10+ years of experience in MEP cost estimating for large-scale commercial, industrial, or mission-critical construction projects
  • Experience developing detailed quantity takeoffs and cost estimates for mechanical and electrical systems in data center or similar critical facility environments
  • Experience with estimating software platforms such as Timberline/Sage Estimating, WinEst, or equivalent MEP-focused cost tools
  • Experience in managing and reconciling estimates across multiple concurrent projects and project phases
  • Experience collaborating with engineering design teams to interpret MEP drawings, specifications, and equipment schedules for cost development
  • Experience in managing vendor relationships and working with stakeholders, both internal and external, to gather technical project requirements to inform costs

Preferred Qualifications:
  • Experience with AI network fiber systems
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • 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 estimating workflows and drive measurable improvements in estimate accuracy and cycle time
  • Familiarity with LEAN construction principles and their application to MEP prefabrication and modular delivery strategies
  • Experience with hyperscale or colocation data center MEP systems, including chilled water, direct evaporative cooling, medium-voltage electrical distribution, and backup power infrastructure
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

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.
$150,000/year to $209,000/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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