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Remote Metadata Jobs in Renton, WA (NOW HIRING)

Noblesoft Technologies

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Remote JD: Key Responsibilities • Design and implement ETL pipelines using Microsoft Fabric ... metadata-driven Lakehouse architecture with threaded datasets to support multiple consumption ...

The Select Group

Data Quality Analyst

Tukwila, WA · On-site +1

Data Governance & Quality Consultant Seattle, WA / Remote We are seeking a Data Governance ... Advanced workflow automation, blending, and metadata management (Designer/Server/Connect)

Team Red Dog

Content Curation Specialist

Redmond, WA · Remote

In this fully remote role, you will shape AI-powered content experiences across Microsoft 365 ... metadata, publishing workflows, and content lifecycle management across customer-facing platforms.

DocuSign

Senior Product Manager

Seattle, WA · On-site +1

$144K - $190K/yr

Own requirements for data management, including metadata models, retention policies, and lifecycle ... Employee divides their time between in-office and remote work. Access to an office location is ...

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Remote Metadata information

See Renton, WA salary details

$40

$76

$95

How much do remote metadata jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote metadata in Renton, WA is $76.05, according to ZipRecruiter salary data. Most workers in this role earn between $67.31 and $86.25 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Metadata position, and why are they important?

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 is a Remote Metadata job?

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 typical day look like for a Remote Metadata Specialist?

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 job categories do people searching Remote Metadata jobs in Renton, WA look for? The top searched job categories for Remote Metadata jobs in Renton, WA are:
What cities near Renton, WA are hiring for Remote Metadata jobs? Cities near Renton, WA with the most Remote Metadata job openings:
Remote Metadata jobs near you
Infographic showing various Remote Metadata job openings in Renton, WA as of July 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $158,174 per year, or $76 per hour.
Data Engineer

Data Engineer

Noblesoft Technologies

Seattle, WA • Remote

$117K - $140K/yr

Contractor

Re-posted 13 days ago

Job description

Job Role: Senior Data Engineer
Location: Remote
 
JD:
 
 
Key Responsibilities
• Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse, warehouse, sql) and Azure Data Factory.
• Build and maintain a metadata-driven Lakehouse architecture with threaded datasets to support multiple consumption patterns.
• Develop agent-specific data lakes and an orchestration layer for an uber-agent that can query across agents to answer customer questions.
• Enable interactive data consumption via Power BI, Azure OpenAI, and other analytics tools.
• Ensure data quality, lineage, and governance across all ingestion and transformation processes.
• Collaborate with product teams to understand data needs and deliver scalable solutions.
• Optimize performance and cost across storage and compute layers.
Required Qualifications
• 5+ years of experience in data engineering with a focus on Microsoft Azure and Fabric technologies.
Strong expertise in:
o Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines, Notebooks)
o Azure Data Factory, Azure SQL, Azure Data Lake Storage Gen2
o Power BI and/or other visualization tools
o Azure Functions, Logic Apps, and orchestration frameworks
o SQL, Python and PySpark/Scala
• Experience working with structured and semi-structured data (JSON, XML, CSV, Parquet).
• Proven ability to build metadata-driven architectures and reusable components.
• Familiarity with agent-based architectures and conversational AI integration is a plus.
• Strong understanding of data modeling, data governance, and security best practices.
Preferred Qualifications
• Experience with Azure OpenAI, Copilot Studio, or similar conversational platforms.
• Knowledge of CI/CD pipelines and DevOps practices for data engineering.
• Experience in building multi-tenant data platforms or domain-specific lakes.