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Remote Metadata Jobs in Anderson, IN (NOW HIRING)

Onebridge

Snowflake Architect (Remote)

Indianapolis, IN · Remote

$65.25 - $84/hr

Experience designing and supporting enterprise data strategies, including data governance, data quality, and metadata management practices. * Strong understanding of analytics enablement and ...

Confluent

Senior Software Engineer II

Indianapolis, IN · On-site +1

$197K - $232K/yr

Remote Department Engineering Compensation: $197.4K - $232K - Offers Equity At Confluent, we are ... and metadata, observability and telemetry, security and access, or customer-facing application ...

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See Anderson, IN salary details

$31

$58

$73

How much do remote metadata jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for remote metadata in Anderson, IN is $58.58, according to ZipRecruiter salary data. Most workers in this role earn between $51.88 and $66.44 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.

How can I make 2000 a week working from home?

Remote metadata roles often pay based on the number of tasks completed or hours worked, with some freelancers earning around $2000 weekly by handling large volumes of data annotation, tagging, or cataloging tasks. Success depends on skills, efficiency, and access to platforms that offer consistent work, such as freelance marketplaces or specialized data companies. Building a strong reputation and acquiring relevant tools or certifications can help increase earning potential in this field.

What's the highest paid remote job?

Remote roles in executive management, such as Chief Executive Officers (CEOs) or Chief Financial Officers (CFOs), tend to be the highest paid, often earning six- or seven-figure salaries. Other high-paying remote jobs include specialized roles like software architects, data scientists, and cybersecurity directors, which require advanced skills and experience. Compensation varies based on industry, company size, and individual expertise.

What jobs pay 2000 a day?

High-paying freelance or consulting roles such as remote metadata specialists, data analysts, or project managers can earn around $2,000 per day, especially with specialized skills and experience. These roles often require advanced knowledge of data management, metadata standards, or industry-specific tools, and may involve contract or project-based work with flexible schedules.

Does Meta still do remote jobs?

Meta offers remote job opportunities across various roles, including positions related to data, engineering, and product management. The company has expanded its remote work options, especially following the shift in workplace policies during the pandemic, and many remote roles require strong digital communication skills and familiarity with collaboration tools.

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 cities near Anderson, IN are hiring for Remote Metadata jobs? Cities near Anderson, IN with the most Remote Metadata job openings:
Remote Metadata jobs near you
Snowflake Architect (Remote)

Snowflake Architect (Remote)

Onebridge

Indianapolis, IN • Remote

$65.25 - $84/hr

Full-time

Posted 7 days ago

Job description

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled Snowflake Architect to join our innovative and dynamic team.

Snowflake Architect | About You

As a Snowflake Architect, you are responsible for designing and guiding the implementation of modern cloud data platforms that support enterprise analytics and datadriven decisionmaking. You bring deep expertise in Snowflake and cloudnative architectures, along with a strong track record delivering greenfield data platforms and leading onpremises to cloud migrations. You operate comfortably at both the strategic and handson levels, defining architecture standards while partnering closely with engineering teams to ensure successful execution. You have a strong understanding of data strategy, governance, and enterprise data management, and you value building scalable, secure, and wellgoverned platforms from the start. You collaborate effectively with business and technical stakeholders to translate longterm data vision into practical, sustainable architectures.

Snowflake Architect | Day-to-Day

  • Lead the design and architecture of enterprise data platforms using Snowflake and Azure, supporting greenfield initiatives and largescale modernization efforts.
  • Define and implement architectural patterns for onpremises to cloud migrations, including ingestion, transformation, storage, and analytics layers.
  • Partner with data engineering and analytics teams to design scalable data models, ELT frameworks, and integration patterns using Snowflake and SQL.
  • Contribute to data strategy and roadmap development, aligning technical architecture with business goals and analytics needs.
  • Define and enforce data governance, security, and data quality standards, working closely with compliance and data management teams.
  • Review architectural designs, data pipelines, and implementations to ensure alignment with performance, scalability, security, and governance best practices.
  • Support analytics and reporting teams by ensuring Snowflake architectures enable selfservice BI and reliable access to trusted data sources.

Snowflake Architect | Skills & Experience

  • 8+ years of experience in data architecture, cloud data engineering, or enterprise data platform design.
  • Deep, handson expertise with Snowflake, including architecture design, performance optimization, security models, and largescale transformation workloads.
  • Proven experience leading greenfield data platform implementations and onpremises to cloud migrations.
  • Strong expertise in Azure, advanced SQL, and ETL/ELT architecture within enterprise data ecosystems.
  • Experience designing and supporting enterprise data strategies, including data governance, data quality, and metadata management practices.
  • Strong understanding of analytics enablement and integration with BI platforms such as Power BI or Sigma.
  • Familiarity with AI or advanced analytics concepts as applied to data platforms is a plus, but not required.

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