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Meta Data Analyst Jobs in Oregon (NOW HIRING)

Meta is seeking a Lead Building Engineer to join our Data Center Critical Facility Operations team ... Lead root cause analysis investigations following equipment failures or operational incidents ...

Meta is seeking a data center Electrical Subject Matter Expert (SME) to join our Data Center ... Lead and/or participate in root-cause analysis activities in area of expertise * Provide training ...

OR

$193K/yr

Meta is building the next generation of AI infrastructure to power large-scale machine learning ... Experience influencing technical direction and organizational strategy through data-driven analysis ...

OR

$193K/yr

Meta is looking for a forward-thinking and strategic leader focused on operational execution with ... Data Measurement: Drive alignment into the metrics we report across the organization so operational ...

... Google, Meta, Mistral), including evaluation, benchmarking, and tradeoff analysis. * Model ... Data Engineering & Curation * Expertise in large-scale data collection, labeling, cleaning, and ...

Build and fix product listings, variations, and catalog data. Resolve listing errors, suppressions ... Amazon is the core of this role, but we also run Walmart, Instacart, Meta, TikTok Shop, and many ...

... analysis. You will start focusing on Insurance and Advertiser Quality, with scope that broadens ... Modeling against ad-platform data points (Google, Meta, native) * LLMs / deep learning applied to ...

... analysis. You will start focusing on Insurance and Advertiser Quality, with scope that broadens ... Modeling against ad-platform data points (Google, Meta, native) * LLMs / deep learning applied to ...

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Meta Data Analyst information

See Oregon salary details

$35.9K

$87.4K

$143.8K

How much do meta data analyst jobs pay per year?

As of Aug 16, 2026, the average yearly pay for meta data analyst in Oregon is $87,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $102,600.00 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 Oregon?

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

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

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

Infographic showing various Meta Data Analyst job openings in Oregon as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $87,374 per year, or $42 per hour.

Data Center Production Operations Engineer

Meta

Prineville, OR

$83K/yr

Full-time

Re-posted 17 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 244 rated software companies


Job description

Meta is seeking a forward thinking experienced engineer to join the Production Operations team within our Data Centers. These Data Centers are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our innovative services are delivered. Meta is at the leading edge of the global data center industry both in terms of how data centers are designed and operated. This person should enjoy working in a fast paced, technical environment where adaptability and flexibility will be key to their success. We seek an IT professional with advanced, hands-on technical skills in server hardware and Linux - ideally in a Data Center environment. Having broad knowledge of server administration and participating in projects in a large-scale distributed data center environment is a core competency of this individual. The candidate should also have working knowledge and experience in a few of the following core areas: Hardware repair, OS management, Tooling and Automation, Networking, or Technical Project Management.
Data Center Production Operations Engineer Responsibilities:
  • Support platform health by successfully resolving and closing tickets, while addressing the overall issue (i.e. addressing root cause) including, but not limited to, remote troubleshooting and physical inspection of services in data halls
  • Participate in deep dives and root cause analysis of highly technical issues within the data center, ranging from automated tooling to hardware failures and network issues
  • Collaborate with cross-functional teams on projects and initiatives related to topics such as process, hardware and automation
  • Point of contact for the introduction of new platforms and hardware to the site, in collaboration with partners and global resources, accelerating the time it takes to bring these products to sustained mass production
  • Use tools and data analysis effectively to identify issues. Take actions to communicate with all stakeholders appropriately and manage or escalate as needed
  • Identify corrective actions of hardware issues, work with internal teams and vendors
  • influence future design changes to ensure ease of serviceability
  • Solve systemic hardware and/or software issues at scale using scripting, automation, and tooling to drive global resolution
  • Continuously evaluate and identify areas for improvement in processes, tools, and systems to optimize efficiency and quality of repairs
  • Use data analytics to drive maximum server up-time and utilization rates, understanding hardware failure rates and service level agreements
  • Support and train team members to evaluate and identify better ways to resolve issues, and define updates to tools and processes
  • Provide engineering support and be a go-to technical resource for the team, leadership, and cross-functional teams in operating and maintaining data center servers
  • Maintain and update documentation i.e. procedures, runbooks and guides
  • Build cross functional relationships and influence policies and procedures that improve global data center operations
  • Participate in 24/7 on-call rotation
  • Ability to travel up to 15% of the time

Minimum Qualifications:
  • BS, BA or BEng in technical field or commensurate experience
  • 5+ years of technical IT experience within an infrastructure environment, in a role such as Systems Administrator, DevOps Engineer, or Site Reliability Engineer
  • Intermediate-level understanding in Linux (or equivalent OS) in a complex IT environment with the ability to triage, debug, and troubleshoot server issues
  • Hands-on experience and knowledge of server hardware and components, including storage
  • Intermediate-level knowledge of the interdependencies of data center functions and technologies including electrical, cooling, structured cabling, security, and network
  • Experience managing technical issues and driving to the root cause
  • Experience participating in technical projects related to areas such as process improvement, technology, and/or automation
  • Ability to communicate effectively, in a clear and concise manner, appropriately tailoring messages to the audience
  • Intermediate-level knowledge of technologies such as HTTP, DNS, RAID, and DHCP
  • Experience in providing technical guidance to external vendors
  • Experience in debugging, modifying and developing commonly used scripting or programming languages in at least one of these languages: Bash, PHP, Python, SQL, Rust, Go or Perl
  • Knowledge of out-of-band/lights-out server communication methods, such as IPMI and serial console
  • Experience using data and metrics to drive decisions

Preferred Qualifications:
  • Experience in fostering growth in others, and driving influence across all organizational levels
  • Experience in a large-scale data center environment
  • Experience with large-scale AI implementations
  • Six Sigma knowledge/certification

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.
$83,990/year to $130,000/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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