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Remote Metadata Jobs in Oregon (NOW HIRING)

Linda Werner & Associates

Marketing Manager IV

OR · Remote

Establish standards for messaging components, metadata, tagging, versioning, and usage * Ensure ... Remote Role type: Contract 9 Month Position Expected hours : 40 per week Benefits: * Dental ...

Chainguard

Software Engineer (Libraries Platform)

OR · On-site +1

Build and operate shared platform services such as package indexes, registry mirrors, metadata ... Excellent communication in a remote, distributed environment, with a bias toward documentation ...

360training

Data Architect Manager

This is a remote position and we are looking to hire in the following states: AZ, FL, GA, NJ, PA ... Practical experience with schema evolution, metadata-driven ingestion, pipeline automation, data ...

Webflow

Director, Analytics Engineering

OR · On-site +1

Remote-first (United States) * Full-time * Permanent * Exempt * The cash compensation for this role ... Define and enforce comprehensive standards for data modeling, metadata management, data governance ...

Musixmatch S.p.a

Security Practice Lead

OR · On-site +1

About Musixmatch Musixmatch is the leading music metadata company, featuring the world's largest ... Relocation to Bologna (Italy) or remote work. We are a hybrid company. * Italian and English ...

Netflix

Distributed Systems Engineer (L5) - Data Platform

OR · On-site +1

$388K - $619K/yr

In addition, we are open to remote candidates. We value what you can do, from anywhere in the U.S ... metadata. We are looking for passionate and innovative software engineers to join our team to build ...

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Showing results 21-35

All JobsMetadata JobsRemote Metadata JobsRemote Metadata Jobs in Oregon

Remote Metadata information

See Oregon salary details

$37

$71

$89

How much do remote metadata jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote metadata in Oregon is $71.48, according to ZipRecruiter salary data. Most workers in this role earn between $63.27 and $81.06 per hour, depending on experience, location, and employer.

What is a remote metadata?

A Remote Metadata job involves managing, organizing, and ensuring the accuracy of metadata for digital content, databases, or other assets from a remote location. Responsibilities may include tagging, categorizing, and maintaining metadata standards to improve searchability and data integrity. These roles are common in industries like media, publishing, e-commerce, and information management. Strong attention to detail, familiarity with metadata standards, and proficiency in data management tools are often required.

What does a remote metadata do?

As a Remote Metadata Specialist, your day typically involves reviewing digital assets, assigning or updating metadata following industry standards, and collaborating with team members via virtual platforms. You may be responsible for quality-checking metadata for consistency and accuracy, troubleshooting data discrepancies, or developing new metadata taxonomies to improve searchability. Regular meetings with content creators, data managers, or IT professionals are common to align metadata practices with organizational goals. The role is often both independent and collaborative, offering a balance between focused tasks and teamwork, all within a flexible remote work environment.

What are the key skills and qualifications needed to thrive in the remote metadata position?

To excel as a Remote Metadata Specialist, you need a deep understanding of information management, data organization, and metadata standards, often backed by a degree in library science, information systems, or a related field. Familiarity with metadata management tools (e.g., DAM systems, XML, Dublin Core), database systems, and sometimes certifications such as Certified Records Manager (CRM) are highly valued. Strong attention to detail, analytical thinking, and effective virtual communication are standout soft skills for this role. These competencies are essential to ensure data is accurately structured, easily retrievable, and supports organizational objectives in a distributed work environment.

What are the most commonly searched types of Metadata jobs in Oregon?

The most popular types of Metadata jobs in Oregon are:

What are popular job titles related to Remote Metadata jobs in Oregon?

For Remote Metadata jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Metadata jobs in Oregon look for?

The top searched job categories for Remote Metadata jobs in Oregon are:

What cities in Oregon are hiring for Remote Metadata jobs?

Cities in Oregon with the most Remote Metadata job openings:

Remote Metadata jobs near you
Infographic showing various Remote Metadata job openings in Oregon as of August 2026, with employment types broken down into 39% Full Time, and 61% Part Time. Highlights an 100% Remote job distribution, with an average salary of $148,676 per year, or $71.5 per hour.

Senior Data Engineer (GCP Python Iceberg Delta Lake Kafka Snowflake Databricks)

Railroad19, Inc

OR • On-site, Remote

$120K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

Railroad19, Inc is seeking a Senior Data Engineer with deep, handson experience in building modern lakehouse architectures on GCP. This role focuses on designing, developing in Python & Spark, and delivering reusable datasharing adapters that connect BigQuerybacked data products to Snowflake and Databricks using Iceberg UniForm and Delta Sharing.

About Railroad19:

At Railroad19, Inc, we develop customized software solutions and provide software development services. We're a specialized team of developers and architects. As such, we only bring an "A" team to the table, through hard work and a desire to lead the industry - this is our company culture - this is what sets Railroad19 apart.

As a Railroad19 employee, you will be part of a company that values your work and gives you the tools you need to succeed. Our headquarters is in Saratoga Springs, New York, but this position is 100% remote. Railroad19 provides competitive compensation and excellent benefits, including Medical/Dental/Vision/Pet Insurance, Paid Time Off, and 401 (k).

NO 1099, C2C, Corp-to-Corp; only full-time employment.

NO Agencies.

Core Responsibilities:
  • Design and implement the UniForm write layer (Delta + Iceberg dual metadata).
  • Build GCS BigQuery ingestion pipelines for structured operational datasets.
  • Develop and implement in Python and Spark.
  • Implement Kafka-based CDC patterns for real-time and near-real-time ingestion.
  • Develop data lineage, dependency tracking, and modular adapter code.
  • Configure Snowflake Horizon external tables for zero-copy reads.
  • All data hub tables are to be written once using Delta Lake with Iceberg UniForm enabled... readable by all target consumers without conversion.
  • Implement and certify Delta Sharing endpoints for Databricks consumers.
  • Build governed access layer components: RBAC, connector registry entries, tenant-scoped authorization.
  • Align semantic layer models with LookML and KPI catalog definitions.
  • Collaborate with crossfunctional teams to deliver endtoend features.
  • Troubleshoot issues across the full stack and contribute to code quality.
Skills/Experience:
  • 6+ years of proven enterprise-level experience in Python & Spark
  • Advanced experience in GCP BigQuery
  • Strong working knowledge of Apache Iceberg, Delta Lake, Iceberg UniForm
  • Experience with Delta Sharing; Kafka / CDC pipelines
  • Specific work experience in Snowflake Horizon Catalog; Databricks Unity Catalog
  • Solid experience with Data lake architecture & ingestion pipeline design
  • Excellent Communication skills and the ability to work cohesively with multiple teams.
Preferred Experience - Nice to Have
  • Prior delivery in enterprise SaaS, media, or advertising technology.
  • Active daily use of AI-assisted development tools (Claude Code preferred).
$120,000 - $180,000 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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