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Remote Metadata Jobs in Inver Grove Heights, MN (NOW HIRING)

Federal Reserve Bank of Richmond

Data Architect

Minneapolis, MN · On-site +1

$66.50 - $85.50/hr

Develop metadata schemas supporting dataset discoverability, lineage, and governance. * Standardize ... No * Current remote employees will not be guaranteed to keep their remote status with their ...

Huntington

Segment Data Officer - 3

Minneapolis, MN · On-site +1

$125K - $255K/yr

... quality, metadata, lineage, and reference data, ensuring the data produced by the segment is fit ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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How much do remote metadata jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote metadata in Inver Grove Heights, MN is $70.58, according to ZipRecruiter salary data. Most workers in this role earn between $62.50 and $80.05 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 cities near Inver Grove Heights, MN are hiring for Remote Metadata jobs?

Cities near Inver Grove Heights, MN with the most Remote Metadata job openings:

Remote Metadata jobs near you
Infographic showing various Remote Metadata job openings in Inver Grove Heights, MN as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 100% Remote job distribution, with an average salary of $146,813 per year, or $70.6 per hour.

Data Product Manager

S R INTERNATIONAL INC

Saint Paul, MN • Remote

Full-time

Posted 2 days ago

New

Job description

Job Title: Data Product Manager
Job Code: MNSITE-3838
Client: Minnesota IT Services (MNIT) / Department of Children, Youth, and Families (DCYF)
Location: St. Paul, MN – Remote or Hybrid
Duration: Until August 2027
Work Hours: Monday–Friday, 7:00 AM–6:00 PM CT, 40 hours/week
Closing Date: 09/08/2026 at 2:00 PM CDT
Position Overview

MNIT/DCYF is seeking a Data Product Manager to lead the strategy, roadmap, and execution of data initiatives that transform organizational data into scalable, high-value data products, including curated datasets, analytics platforms, and data infrastructure.
The role will work closely with data engineering, data science, analytics, enterprise architecture, and business teams to modernize legacy mainframe data environments and transition toward data lakes and modern data curation platforms. The Data Product Manager will guide products through the full lifecycle, from ideation and design through development, deployment, monitoring, and deprecation.
Required Skills

  • 4–7 years of experience in data management, data analytics, data engineering, or related fields.
  • Strong Product Management / Product Leadership experience.
  • Strong understanding of data systems, data pipelines, data warehousing, data modeling, metadata, and data governance.
  • Experience collaborating with Data Architecture, Data Engineering, and Data Science teams.
  • Ability to translate complex technical concepts into business-friendly language.
  • Strong communication, prioritization, stakeholder management, and analytical skills.
  • Experience with analytics and BI tools such as Power BI, Tableau, Looker, dbt, or Google Analytics.
  • Experience with SQL, data lakes, data pipelines, and ETL.
  • Significant experience with Databricks.
  • Familiarity with Java and Python.
  • Experience implementing modern data architectures.
  • Experience building internal platforms or developer-facing data products.
  • Understanding of enterprise data sharing constraints and data-sharing agreements.
  • Experience in a highly regulated environment involving statistical analysis and reporting.
Key Responsibilities

  • Define the vision, strategy, and roadmap for enterprise data products.
  • Identify high-value opportunities based on business needs, data landscapes, and organizational priorities.
  • Lead the end-to-end data product lifecycle including requirements, design, development, testing, launch, and iteration.
  • Partner with data engineers and data scientists to build scalable pipelines, models, and data services.
  • Ensure data quality, governance, lineage, metadata, and documentation standards.
  • Translate business logic into data transformations, metadata, and domain-specific rules.
  • Serve as the primary liaison between technical teams and DCYF business stakeholders.
  • Define success metrics, KPIs, dashboards, and reporting frameworks.
  • Ensure data products provide actionable insights and support data-driven decision making.
  • Promote responsible data use, privacy, governance, compliance, and ethical AI practices.
  • Support modernization from legacy mainframe systems to modern data lakes and data platforms.
Technical Environment / Primary Skills

Data Product Management, Data Analytics, Data Engineering, Data Management, Data Governance, Data Quality, Data Architecture, Data Modeling, Data Pipelines, ETL, Data Lakes, Databricks, SQL, Power BI, Tableau, Looker, dbt, Google Analytics, Java, Python, Metadata, Machine Learning Operations, Enterprise Architecture, Stakeholder Management, Product Lifecycle, Business Strategy.

 

This is a remote position.