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Remote Metadata Jobs in Vermont (NOW HIRING)

Remote (U.S.-based) Work Hours: Standard business hours Job Overview We are seeking an experienced ... metadata standards, data glossary entries, and end to end data lineage Establish governance ...

Remote (U.S.-based) Work Hours: Standard business hours Job Overview We are seeking an experienced ... metadata standards, data glossary entries, and end to end data lineage Establish governance ...

Remote Metadata information

See Vermont salary details

$38

$71

$90

How much do remote metadata jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for remote metadata in Vermont is $71.88, according to ZipRecruiter salary data. Most workers in this role earn between $63.65 and $81.54 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 Vermont look for? The top searched job categories for Remote Metadata jobs in Vermont are:
What cities in Vermont are hiring for Remote Metadata jobs? Cities in Vermont with the most Remote Metadata job openings:
Infographic showing various Remote Metadata job openings in Vermont as of May 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $149,515 per year, or $71.9 per hour.
DataOps Engineer

DataOps Engineer

Trioptus

Montpelier, VT • Remote

Full-time

Posted 8 days ago


Job description

Job Title: DataOps Engineer Job Type: Contract Duration: 12 15 months (with potential for extension) Work Location: Remote (U.S.-based) Work Hours: Standard business hours Job Overview We are seeking an experienced DataOps Engineer to support a large scale healthcare data modernization initiative. This role focuses on building and operationalizing modern data quality, governance, analytics, and performance monitoring capabilities within an enterprise data environment. The ideal candidate will combine strong technical expertise with the ability to collaborate closely with internal teams through hands on delivery, documentation, and knowledge transfer.

The engagement emphasizes long term sustainability, staff enablement, and repeatable best practices rather than one time development. Key Responsibilities DataOps and Data Quality Develop and maintain data quality rules, validation frameworks, and monitoring processes Implement statistical process control (SPC) and anomaly detection to ensure data reliability Support incident logging, triage, root cause analysis, and continuous improvement efforts Data Governance and Metadata Define and maintain metadata standards, data glossary entries, and end to end data lineage Establish governance procedures, SOPs, and disclosure/suppression rules Translate downstream analytics and governance requirements into clear upstream data specifications Analytics and Business Intelligence Design and support governed semantic data models Assist with the development and validation of standardized dashboards and reports Ensure data accuracy, refresh reliability, and compliance with governance standards Platforms and Tools Work within platforms such as Azure DevOps, cloud based data lakes, and BI tools Maintain operational dashboards, KPIs, and performance metrics Support agile workflows, documentation repositories, and collaboration tools Enablement and Collaboration Partner with internal teams through hands on co development sessions Create and maintain Wikis, runbooks, and playbooks for long term ownership Deliver role based training and support organizational readiness initiatives Required Qualifications Proven experience as a DataOps Engineer, Data Engineer, Analytics Engineer, or similar role Strong background in data quality engineering, governance, and analytics enablement Experience with: Azure DevOps or similar workflow tools Business intelligence platforms (e.g., Power BI or equivalent) Cloud data platforms (Azure, AWS, or similar) Experience working in Agile or iterative delivery environments Strong documentation, communication, and stakeholder collaboration skills Ability to work independently in a remote environment Preferred Qualifications Certifications such as: Azure Data Engineer Power BI Data Analyst Databricks Data Engineer Data Governance or Data Management certifications Experience in healthcare, public sector, or highly regulated data environments Familiarity with change management and operational enablement practices #DataOps #DataEngineering #CloudData #AzureDevOps #PowerBI #DataGovernance #AnalyticsJobs