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Remote Metadata Jobs in Huntsville, AL (NOW HIRING)

Pae

Earth Science Software Engineer (ES4)

Huntsville, AL · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and metadata curation of real-time satellite feeds and high-volume geospatial datasets ... Remote Sensing or a related technical field from an ABET-accredited university. * 10+ years ...

All JobsMetadata JobsRemote Metadata JobsRemote Metadata Jobs in Huntsville, AL

Remote Metadata information

See Huntsville, AL salary details

$35

$66

$83

How much do remote metadata jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for remote metadata in Huntsville, AL is $66.61, according to ZipRecruiter salary data. Most workers in this role earn between $58.99 and $75.58 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.

What are popular job titles related to Remote Metadata jobs in Huntsville, AL?

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

What job categories do people searching Remote Metadata jobs in Huntsville, AL look for?

The top searched job categories for Remote Metadata jobs in Huntsville, AL are:

What cities near Huntsville, AL are hiring for Remote Metadata jobs?

Cities near Huntsville, AL with the most Remote Metadata job openings:

Remote Metadata jobs near you
Infographic showing various Remote Metadata job openings in Huntsville, AL as of August 2026, with employment types broken down into 58% Full Time, 13% Part Time, and 29% Contract. Highlights an 100% Remote job distribution, with an average salary of $138,557 per year, or $66.6 per hour.

Senior Enterprise Data Architect | 100% Remote (EST Candidates Only)

Apetan Consulting llc

Huntsville, AL • Remote

$68.75 - $92/hr

Contractor

Re-posted yesterday

Job description

Job Title: Senior Enterprise Data Architect
Work Mode: 100% Remote (EST Candidates Only)
Job Type: Long Term Contract
We are seeking a Data Architect (Go Getter Attitude) who operates at the intersection of data modeling, business understanding, and analytical insight. This role is not limited to designing schemas—it requires a deep curiosity about how the business works and the ability to translate that understanding into scalable, coherent data domains and models that serve both analytical and operational needs.

Key Responsibilities

  • Lead the design and evolution of enterprise data models, including conceptual, logical, and physical layers.
  • Translate complex business processes, entities, and relationships into well-structured data domains and models.
  • Partner closely with business stakeholders to understand workflows, metrics, and decision-making processes, and reflect them accurately in data structures.
  • Develop models that support both analytical use cases (e.g., reporting, BI, data science) and non-analytical use cases (e.g., operational systems, APIs).
  • Establish and enforce data modeling standards, naming conventions, and governance practices across the organization.
  • Collaborate with data engineers to ensure models are implemented efficiently in modern data platforms (e.g., warehouses, lakehouses).
  • Analyze existing data systems to identify gaps, redundancies, and opportunities for simplification or improvement.
  • Drive domain-oriented data architecture (e.g., data mesh principles) where appropriate, ensuring clear ownership and boundaries.
  • Ensure data models are scalable, maintainable, and aligned with long-term business strategy.

Qualifications

  • Strong experience in data modeling (dimensional, normalized, and hybrid approaches).
  • Demonstrated ability to deeply understand business domains and map them into data structures.
  • Proficiency with SQL and experience working with modern data platforms (e.g., Snowflake, BigQuery, Databricks).
  • Solid analytical skills, with the ability to explore and validate data against real business scenarios.
  • Experience collaborating with both technical teams and non-technical stakeholders.
  • Familiarity with data governance, metadata management, and data quality frameworks.
  • Ability to think abstractly about systems while also engaging with detailed data-level implementation.

Preferred Attributes

  • Experience designing data domains aligned to business capabilities or bounded contexts.
  • Background in analytics, BI, or data science that informs modeling decisions.
  • Comfort working in evolving environments where both business and data structures are still being defined.
  • A strong sense of ownership and curiosity about how data reflects real-world business processes.

What the role is not

  • An ETL or a Data Integration Architect