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Remote Metadata Jobs (NOW HIRING)

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$117K - $140K/yr

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a ... Define and enforce standards for data modeling, lineage, metadata, MDM, quality, security, and ...

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$115K - $139K/yr

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a ... Define and enforce standards for data modeling, lineage, metadata, MDM, quality, security, and ...

DivIHN

Senior Data Manger (Remote)

$68.75 - $92/hr

Senior Data Manager (Remote) Location: Remote Duration: 12 Months Work Arrangement * Remote ... including metadata management, lineage, classification, RBAC, ABAC, and Key Vault security ...

WaveStrong, Inc.

Remote BigID SME

Los Angeles, CA · Remote

$60 - $81.75/hr

Exciting Remote BigID SME contract opportunity. Requirements We're looking for a BigID SME ... Develop and customize BigID scans, connectors, and metadata ingestion * Troubleshoot issues and ...

WaveStrong, Inc.

Remote BigID SME

Los Angeles, CA · Remote

$63 - $86/hr

Exciting Remote BigID SME contract opportunity. Requirements We're looking for a BigID SME ... Develop and customize BigID scans, connectors, and metadata ingestion * Troubleshoot issues and ...

WaveStrong, Inc.

Remote BigID SME

Los Angeles, CA · On-site +1

$63 - $86/hr

Exciting Remote BigID SME contract opportunity. Requirements We're looking for a BigID SME ... Develop and customize BigID scans, connectors, and metadata ingestion * Troubleshoot issues and ...

IT America Inc

Oracle EDM / DRM Consultant

Dallas, TX · Remote

Remote Duration: Long term contract Note: Looking for Permanent / Visa Independent Consultants Job ... Manage data hierarchies and metadata * Perform data loads, data extracts, and data validations

VivSoft Technologies LLC

Configuration Manager

Herndon, VA · On-site +1

$110K - $145K/yr

Remote Clearance Required: Public Trust Clearance Position Type: Full-Time About the company: At ... Support DevSecOps Engineer with metadata conflict resolution procedures and multi-branch merge ...

VivSoft Technologies

Configuration Manager

Herndon, VA · Remote

$110K - $145K/yr

Remote Clearance Required: Public Trust Clearance Position Type: Full-Time About the company: At ... Support DevSecOps Engineer with metadata conflict resolution procedures and multi-branch merge ...

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Remote Metadata information

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How much do remote metadata jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for remote metadata in the United States is $67.61, according to ZipRecruiter salary data. Most workers in this role earn between $59.86 and $76.68 per hour, depending on experience, location, and employer.

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 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.

More about Remote Metadata jobs
What cities are hiring for Remote Metadata jobs? Cities with the most Remote Metadata job openings:
What are the most commonly searched types of Metadata jobs? The most popular types of Metadata jobs are:
What states have the most Remote Metadata jobs? States with the most job openings for Remote Metadata jobs include:
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Remote Metadata jobs near you
Infographic showing various Remote Metadata job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 87% Full Time, 1% Part Time, 1% Temporary, 5% Contract, and 4% Nights. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $140,621 per year, or $67.6 per hour.

Data Engineer IV (Remote)

ROI Agency

Spokane, WA • Remote

$117K - $140K/yr

Full-time

Re-posted 14 days ago

Job description

*Due to NERC regulations US Citizenship, Green Card Hold, or Permanent Residency is required for this role.*

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a team we have successfully supported for a few years.

This is hands-on engineering position requiring the ability evaluate execution layer code.


Data Engineer IV

Position Summary

The Principal Data Engineer / Architect (Data Engineer IV) is a senior technical leader responsible for defining the enterprise-wide data architecture, platform strategy, and governance standards. This role shapes how data is collected, modeled, processed, secured, and consumed across all applications and business domains, ensuring the long-term scalability, reliability, and performance of the organization’s data ecosystem.

Principal Data Engineers drive large-scale modernization, lakehouse and warehouse architecture, MDM adoption, metadata automation, Delta Lake strategy, multi-cloud integrations, and end-to-end data platform evolution. Operating with full autonomy, this role engages with Directors, senior architects, and cross-functional leaders to guide decisions that impact enterprise systems, analytics, compliance, and technology investments.

This position is both strategic and hands-on when needed—solving the hardest technical problems, creating reusable frameworks, and mentoring senior engineers to elevate overall data engineering maturity across the enterprise.

Essential Functions:

  • Own the long-term design and architecture of the enterprise data ecosystem, including ingestion, storage, modeling, lineage, governance, and analytics layers.
  • Design scalable lakehouse, Delta Lake, and distributed data architectures supporting advanced analytics, operational workflows, and integration across business domains.
  • Lead enterprise-wide modernization projects: warehouse migrations, domain modeling redesigns, governance uplift, streaming adoption, or cross-cloud data integrations.
  • Define and enforce standards for data modeling, lineage, metadata, MDM, quality, security, and compliance across all data teams.
  • Create reusable architectural patterns, frameworks, orchestrations, and platform components adopted across engineering groups.
  • Solve the most complex technical problems, including distributed system bottlenecks, data quality crises, lineage gaps, and multi-domain data reconciliation issues.
  • Guide cost optimization strategy for compute, storage, and orchestration workloads across the data platform.
  • Partner with enterprise architecture, analytics, InfoSec, product, and application engineering to ensure alignment with organizational strategy.·
  • Influence leadership decisions regarding data strategy, platform investments, tooling, and sprint/roadmap priorities.
  • Mentor senior engineers, conduct design reviews, and provide technical leadership across teams to raise the overall engineering bar.

Basic Qualifications:

  • Bachelor’s degree in CS/IT/Data Science or equivalent experience (Master’s preferred).
  • 10+ years experience in data engineering, data architecture, or distributed systems engineering.
  • Proven track record designing and implementing enterprise-scale data platforms with Lakehouse/Delta architectures.
  • Expert-level proficiency with SQL, Spark, Python, Databricks, Delta Lake, Azure Data Factory, and distributed processing.
  • Deep understanding of data modeling (conceptual, logical, physical), governance frameworks, MDM, metadata catalogs, and lineage systems.
  • Experience leading multi-team engineering initiatives and influencing architectural decisions at the leadership level.
  • Strong grounding in security, compliance, data privacy, and regulatory data handling.

Requirements:
None