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Metadata Jobs in Remote, OR (NOW HIRING)

Familiarity with data quality, metadata management, lineage, and governance tooling. * Ability to work across teams and influence stakeholders to drive adoption of governance practices. * Strong ...

Metadata information

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$8

$15

$29

How much do metadata jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for metadata in Remote, OR is $15.72, according to ZipRecruiter salary data. Most workers in this role earn between $11.78 and $17.55 per hour, depending on experience, location, and employer.

What do you need to be a metadata specialist?

To become a metadata specialist, you typically need a bachelor's degree in information science, library science, or a related field. Strong skills in data management, knowledge of metadata standards like Dublin Core or MARC, and experience with cataloging tools or database systems are also important.

What is the difference between Metadata vs Data Analyst?

AspectMetadataData Analyst
Required CredentialsKnowledge of data management, basic understanding of databasesBachelor's degree in statistics, data science, or related field
Work EnvironmentData management teams, IT departmentsBusiness, finance, marketing teams
Employer & Industry UsageUsed across industries for data catalogingUsed in analytics, reporting, decision-making
Common Search & ComparisonUnderstanding data structureAnalyzing data for insights

Metadata involves managing data about data, such as descriptions and structure, while a Data Analyst interprets data to provide insights. Both roles are essential in data management but serve different functions within organizations.

What jobs make $1,000,000 a year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions in large corporations can earn over $1 million annually, often including bonuses and stock options. Additionally, successful entrepreneurs, top-tier investment bankers, and certain specialized professionals like renowned surgeons or professional athletes may reach this income level, typically requiring extensive experience, skills, and a strong network.

What jobs pay 400 an hour?

High-paying jobs that can reach $400 an hour include specialized consulting roles, senior legal or medical professionals, and certain executive or niche technical positions. These roles typically require advanced skills, extensive experience, and often involve freelance or contract work in high-demand industries.

What are metadata specialists?

Metadata specialists are professionals responsible for creating, managing, and maintaining metadata, which is data that describes and provides information about other data. They work to ensure that digital assets, documents, or datasets are accurately categorized, searchable, and retrievable by assigning standardized descriptions and tags. Metadata specialists often work in libraries, archives, museums, or organizations with large digital collections, and play a key role in data governance and information management.

What job makes $10,000 a month without a degree?

A data scientist or senior data analyst can earn $10,000 or more per month through expertise in data analysis, programming, and statistical tools, often without a formal degree if they have strong skills and experience. High-paying freelance or consulting roles in technology, digital marketing, or software development can also reach this income level with self-taught skills and a solid portfolio.

What are the key skills and qualifications needed to thrive as a Metadata Specialist, and why are they important?

To thrive as a Metadata Specialist, you need strong organizational skills, attention to detail, and knowledge of metadata standards and cataloging principles, often supported by a degree in library science, information science, or a related field. Familiarity with cataloging tools, metadata management systems, and standards like Dublin Core or MARC is typically required. Excellent communication, problem-solving abilities, and collaboration skills help you work effectively with cross-functional teams and stakeholders. These skills ensure accurate data organization and retrieval, which are critical for maintaining data integrity and supporting information discovery.

What are some typical challenges faced by metadata specialists when managing large datasets, and how can they be addressed?

Metadata specialists often encounter challenges such as inconsistent data standards, incomplete metadata entries, and integrating metadata from multiple sources. These issues can make it difficult to ensure data discoverability and usability. Addressing them typically involves establishing clear metadata standards, using automated tools for validation, and collaborating closely with data owners and IT teams to maintain consistency. Regular training and documentation updates also help in keeping metadata practices aligned across the organization.
What are popular job titles related to Metadata jobs in Remote, OR? For Metadata jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Metadata jobs in Remote, OR look for? The top searched job categories for Metadata jobs in Remote, OR are:
What cities near Remote, OR are hiring for Metadata jobs? Cities near Remote, OR with the most Metadata job openings:
Senior Director of Data Engineering and Transformation

Senior Director of Data Engineering and Transformation

Lumen Technologies

OR • Remote

$99K - $135K/yr

Other

Medical, Life

Posted 25 days ago


Lumen Technologies rating

8.6

Company rating: 8.6 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

4th of 79 rated telecommunications companies


Job description

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises, governments, and communities.

At Lumen, you'll work on infrastructure customers rely on today and build for what's next, where performance, security, and resilience matter.

This is a high accountability environment where bold ideas drive real innovation for our customers, partners, and industry. The work is challenging, expectations are clear, and trust is built into how we operate. If you're ready to take ownership, deliver meaningful impact, and help shape the future of AIready connectivity, join us today.

The Role
We are seeking an experienced, hands-on Senior Director of Data Engineering & Transformation to lead the modernization, execution, and optimization of enterprise data platforms, architectures, and engineering capabilities across Lumen. This leader will drive scalable data products, modern pipelines, integration frameworks, and AI-ready data structures that enable analytics, artificial intelligence, business decision-making, and increased automation. In this role, the Senior Director will shape the company's data landscape by modernizing platforms, improving engineering practices, and accelerating the organization's ability to use data as a strategic asset. The position also focuses on making Lumen data more accessible and consumable for business users, enterprise applications, and AI agents to improve productivity and unlock greater business value, while ensuring data governance requirements such as quality, security, lineage, access controls, metadata, and compliance are embedded into technical solutions and architecture practices.
Location

This is a remote opportunity open to candidates located anywhere in the U.S.

The Main Responsibilities
  • Transform enterprise data infrastructure by modernizing data platforms, architectures, pipelines, and engineering practices.
  • Make data more available and consumable for business users, enterprise applications, analytics platforms, and artificial intelligence.
  • Design scalable enterprise data architectures that support analytics, AI, automation, reporting, and operational use cases.
  • Lead data pipeline development and optimization, including ETL/ELT, ingestion, transformation, orchestration, monitoring, testing, and production support.
  • Drive data platform modernization across cloud, lakehouse, integration, storage, analytics, and AI-enablement capabilities.
  • Deliver reusable data products and solutions, including APIs, semantic layers, governed access patterns, analytical datasets, and AI-ready data structures.
  • Enable AI-ready data architecture for machine learning, intelligent applications, AI agents, advanced analytics, and automation workflows.
  • Lead complex transformation initiatives from strategy through execution, including roadmaps, milestones, dependencies, risks, and measurable business outcomes.
  • Embed governance into technical delivery, including data quality, security, lineage, metadata, access controls, compliance, and responsible data use.
  • Lead and mentor technical teams across data architecture, data engineering, platform engineering, and technical delivery while fostering excellence, accountability, and innovation.
What We Look For in a Candidate
  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field. Advanced degree preferred.
  • 15+ years of experience in data engineering, data architecture, enterprise data platforms, data integration, data transformation, or related technical disciplines.
  • Strong experience designing and implementing large-scale data architectures, modern data platforms, enterprise data pipelines, and data engineering solutions.
  • Deep knowledge of ETL/ELT pipelines, data ingestion, data transformation, data modeling, data warehousing, lakehouse architectures, cloud data platforms, and distributed data systems.
  • Experience structuring data for analytics, reporting, AI, machine learning, business intelligence, intelligent applications, and automation use cases, including applied AI for data and AI-agent consumption patterns.
  • Experience structuring data for analytics, reporting, AI, machine learning, and business intelligence use cases.
  • Strong understanding of data quality, security, metadata, lineage, access management, and governance requirements as part of technical delivery.
  • Proven ability to lead technical teams and manage complex data engineering, architecture, and transformation programs.
  • Strong communication skills with the ability to translate technical concepts into executive-level presentations, transformation roadmaps, and business-facing recommendations.
  • Experience evaluating, selecting, and implementing data technologies, platforms, and engineering frameworks.
Preferred Skills
  • Experience with data analytics, business intelligence, applied AI for data, AI agents, automation enablement, and machine learning enablement platforms.
  • Experience with data analytics, business intelligence, AI, and machine learning enablement platforms.
  • Familiarity with cloud-based data platforms and services such as Azure, AWS, Google Cloud, Snowflake, Databricks, Microsoft Fabric, or similar technologies.
  • Experience with data mesh, lakehouse architecture, domain-oriented data products, metadata management, feature stores, vector databases, or AI-ready data platform design.
  • Experience with DevOps, DataOps, CI/CD, orchestration, monitoring, testing automation, and production support for data platforms and pipelines.
  • Certification in cloud architecture, data engineering, data architecture, or data management preferred.
Compensation
This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.
Location Based Pay Ranges
$174,876 - $233,168 in these states: AL  AR  AZ  FL  GA  IA  ID  IN  KS  KY  LA  ME  MO  MS  MT  ND  NE  NM  OH  OK  PA  SC  SD  TN  UT  VT  WI  WV  WY 
$183,621 - $244,827 in these states: CO  HI  MI  MN  NC  NH  NV  OR  RI 
$192,364 - $256,486 in these states: AK  CA  CT  DC  DE  IL  MA  MD  NJ  NY  TX  VA  WA 
Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process.   Learn more about Lumen's: Benefits Bonus Structure

Requisition #: 342368

Life at Lumen

Life at Lumen is human and connected, even in a fast moving, AIfocused organization. We set clear expectations and trust people to meet them. With real support and shared accountability, teams collaborate better, move faster, and deliver meaningful outcomes. 

Our Lumen 8 behaviors guide how we interact, make decisions, and work together, shaping a culture built to perform and win.  

To learn more about Life at Lumen and how we live the Lumen 8, please visit:  
https://jobs.lumen.com/global/en/life-at-lumen

Background Screening

If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.


Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Equal Employment Opportunities

We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.

Privacy Notice

Lumen is committed to protecting the privacy and security of personal information collected during the recruitment and hiring process. Our Privacy Notice explains how we collect, use, disclose, and protect applicant information, as well as how individuals may request access to or deletion of their personal data.

To review Lumen's Privacy Notice, please visit:
https://jobs.lumen.com/global/en/privacy-notice

Disclaimer

The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.


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About Lumen Technologies

Sourced by ZipRecruiter

Lumen Technologies, headquartered in Monroe, LA, US, is a leader in the telecommunications industry. The company provides an array of solutions ranging from voice, broadband, and video services for consumers, businesses, and governmental agencies. Additionally, they offer data management, cloud, network, and IT services for enterprise customers. Lumen Technologies was founded in 1930, originally as the Louisiana Long Distance Independent Telephone Company. The company’s mission is to further human progress through technology, promoting a robust digital ecosystem, which is reflective of their core values of trust, respect, and innovative problem-solving that aims to have a significant impact on their clients' businesses.

Industry

Media and telecom

Company size

10,000+ Employees

Headquarters location

Monroe, LA, US

Year founded

1968

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