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Metadata Assistant Jobs in Portland, OR (NOW HIRING)

The Assistant Manager, On-site SEO is a key member of the eCommerce Performance Marketing team ... metadata. * Manage creation and optimization of on-site elements to streamline LLM crawls and ...

As the Technical SEO Assistant Manager at adidas your role is to drive organic traffic to adidas ... metadata. * Measure and report results of SEO activities and projects and communicate these to ...

As the Technical SEO Assistant Manager at adidas your role is to drive organic traffic to adidas ... metadata. * Measure and report results of SEO activities and projects and communicate these to ...

... metadata. * Measure and report results of SEO activities and projects and communicate these to ... Job Title: Assistant Manager Technical SEO Brand: Location: Portland TEAM: Digital State: OR ...

AI Engineer Senior Consultant

Portland, OR · Hybrid

$110K - $152K/yr

Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants ... metadata, monitoring; right-sizing, query tuning, LLM token/cost telemetry). * Contribute to MLOps ...

Metadata Assistant information

See Portland, OR salary details

$8

$21

$40

How much do metadata assistant jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for metadata assistant in Portland, OR is $21.83, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $23.94 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Metadata Assistant, and why are they important?

To thrive as a Metadata Assistant, you need a detail-oriented mindset, familiarity with metadata standards, and a background in library science or information management. Experience with cataloging systems, library management software, and knowledge of standards such as MARC or Dublin Core is commonly required. Strong organizational skills, accuracy, and effective communication help you excel in updating and maintaining metadata records. These skills ensure the accurate organization, retrieval, and accessibility of digital and physical information resources.

What are Metadata Assistants?

Metadata Assistants are professionals who support the organization, management, and maintenance of metadata in libraries, archives, museums, or digital collections. Their primary role involves creating, editing, and ensuring the accuracy of metadata records, which helps users locate and access resources efficiently. They may also assist with data entry, quality control, and the application of cataloging standards. Metadata Assistants work closely with librarians, archivists, and other information professionals to maintain high-quality information systems.

What is the difference between Metadata Assistant vs Data Entry Clerk?

AspectMetadata AssistantData Entry Clerk
Required SkillsKnowledge of metadata standards, attention to detail, basic database skillsTyping accuracy, data input, basic computer skills
Work EnvironmentLibraries, archives, digital repositoriesOffices, administrative settings
CertificationsOften none, but familiarity with cataloging standards helpsNone typically required
Industry UsageLibraries, museums, digital asset managementVarious industries, administrative roles

The main difference is that Metadata Assistants focus on organizing and maintaining digital or physical metadata to improve asset retrieval, while Data Entry Clerks primarily input and manage data accuracy in databases. Metadata Assistants require knowledge of metadata standards and work in specialized environments, whereas Data Entry Clerks perform general data input tasks across various industries.

What are some common challenges faced by Metadata Assistants, and how can they be addressed?

Metadata Assistants often encounter challenges such as ensuring data accuracy, maintaining consistency across different cataloging standards, and managing large volumes of information. Staying up-to-date with changing metadata standards and mastering various database systems can also be demanding. To address these challenges, it’s helpful to participate in ongoing professional development, collaborate closely with catalogers and IT staff, and utilize quality control tools to regularly audit and correct metadata entries. Building strong communication skills and being detail-oriented are key assets in this role.
What are the most commonly searched types of Metadata jobs in Portland, OR? The most popular types of Metadata jobs in Portland, OR are:
What are popular job titles related to Metadata Assistant jobs in Portland, OR? For Metadata Assistant jobs in Portland, OR, the most frequently searched job titles are:
Infographic showing various Metadata Assistant job openings in Portland, OR as of June 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 100% In-person job distribution, with an average salary of $45,409 per year, or $21.8 per hour.
Cyber AI Data Engineer Senior Consultant

Cyber AI Data Engineer Senior Consultant

Deloitte

Portland, OR • On-site

Full-time

Posted 7 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Job Summary:
Deloitte is looking for a hands-on Data Engineer to build and operate the governed data foundations powering cyber risk and AI-enabled cyber workflows. The role involves designing production-grade pipelines and services, implementing data quality checks, and partnering with stakeholders to translate requirements into implementable controls.
Responsibilities:
• Building scalable batch and stream processing pipelines that ingest security telemetry, control evidence, and compliance artifacts into governed data stores.
• Designing data models for risk and controls domains, including key risk indicators, issues and defects, risk acceptance, control testing outcomes, audit evidence, and policy exceptions, and enabling self-service analytics and dashboards.
• Implementing data quality checks, lineage, metadata, and access controls to support auditability, regulatory defensibility, and repeatable evidence generation.
• Developing AI-enabled capabilities that accelerate governance, risk, and compliance and cyber operations, including evidence summarization, control testing assist, policy question-and-answer, investigation copilots, ticket triage, and exception reasoning using agentic patterns, workflow orchestration, and retrieval-augmented generation.
• Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using application programming interfaces, event patterns, and connectors, with observability and runbooks for production support.
• Partnering with Cyber, Risk, Compliance, Privacy, and Legal stakeholders to translate requirements into implementable controls and developer-ready guardrails.
Qualifications:
Required:
• Bachelor's degree or equivalent practical experience.
• 4+ years of experience in data engineering and software development using Python and SQL.
• Experience building production data pipelines and data models for batch processing, stream processing, or both, and deploying solutions using cloud platforms, containers, infrastructure as code, application programming interfaces, and secrets management.
• Experience implementing data governance controls including data classification, personally identifiable information handling, least-privilege access, encryption, secrets management, retention, audit logging, and lineage or metadata management.
• Experience supporting governance, risk, and compliance workflows, including risk reporting, audit data requests, controls monitoring, controls testing, compliance metrics, governance, risk, and compliance tool integrations, and large language model-enabled applications using retrieval-augmented generation, vector or hybrid retrieval, tool or function calling, evaluation or monitoring, prompt-injection defenses, and secure access patterns.
• Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
Preferred:
• Experience in consulting or a Big 4 environment.
• Experience with Java, Go, or JavaScript.
• Experience integrating with ServiceNow GRC, Archer, OneTrust, or BigID and building evidence pipelines mapped to control objectives.
• Experience building pipelines for security information and event management, security orchestration, automation, and response, vulnerability, identity, or cloud security posture data.
• Experience operationalizing large language model operations or machine learning operations capabilities, including evaluation, monitoring, versioning, and governance workflows.
• Security certification such as CompTIA Security+, Certified Information Security Manager, Certified Information Systems Auditor, Certified Information Systems Security Professional, or a cloud certification.
Company:
Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Founded in 2008, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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