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Semantic Jobs in Portland, OR (NOW HIRING)

Build a platform that makes Mercury\'s data easy for both people and AI systems to discover, understand, and use, investing in semantic models, metadata, and developer tooling that make trusted data ...

Senior Fortran Compiler Engineer

Hillsboro, OR ยท On-site

$113K - $156K/yr

Proven understanding of compiler internals including experience with semantic analysis * Knowledge of programming fundamentals, especially in C/C++, with a deep understanding of parallel computer ...

Linguistics Tutor

Portland, OR ยท Remote

$18 - $40/hr

Ability to explain phonemic transcription using IPA, morphological analysis, syntactic tree construction, and semantic composition while preparing students for advanced linguistics coursework ...

Sr. Security Architect

Hillsboro, OR ยท On-site

  • Medical

  • Retirement

  • PTO

AIassistedstatic and semantic codegeneration andanalysis * Automated vulnerability discovery and reasoning over complex code paths * dentification of insecure patterns and architectural weaknesses ...

Print Supplies Big Data Analyst

Vancouver, WA

$105K - $161K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Responsibilities Own and support monthly validation processes for print telemetry outputs, dashboard semantic layers, and related usage/share reporting handoffs Serve as a key analytical partner for ...

Sr. Security Architect

Hillsboro, OR ยท On-site

  • Medical

  • Retirement

  • PTO

AI-assisted static and semantic code generation and analysis * Automated vulnerability discovery and reasoning over complex code paths * dentification of insecure patterns and architectural ...

Data Analyst (53695)

Vancouver, WA ยท On-site

$85K - $124K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Advise on and enhance reusable credit union data models, semantic models and ontologies to accelerate data driven decisions. * Continuously expand knowledge of data analytics, business intelligence ...

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Showing results 21-40

Semantic information

See Portland, OR salary details

$58.9K

$125.9K

$184K

How much do semantic jobs pay per year?

As of Aug 15, 2026, the average yearly pay for semantic in Portland, OR is $125,854.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $141,600.00 per year, depending on experience, location, and employer.

What is a semantic job?

A Semantic job typically involves working with meaning and context in language, data, or technology. It may include roles in natural language processing (NLP), knowledge representation, search engine optimization (SEO), or semantic web technologies. Professionals in this field develop algorithms, ontologies, and models to improve understanding and classification of information. These jobs are common in AI, data science, and digital marketing industries.

What is the difference between Semantic vs Data Analyst?

AspectSemanticData Analyst
Required CredentialsBackground in linguistics, computer science, or related fields; knowledge of semantic web technologiesDegree in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentResearch-focused, often in tech or AI companies, working on language understandingBusiness or research settings, analyzing data to inform decisions
Industry UsageUsed in AI, NLP, and semantic web projectsUsed across finance, marketing, healthcare, and other sectors
Common Search/ComparisonSemantic vs Data Analyst

Semantic professionals focus on understanding and structuring meaning in language and data, often working with AI and NLP technologies. Data Analysts interpret data sets to generate insights for business decisions. While both roles involve data, Semantic roles emphasize language and knowledge representation, whereas Data Analysts focus on statistical analysis and reporting.

What are the key challenges faced by semantic engineers when implementing knowledge graphs in large organizations?

Semantic Engineers often encounter challenges related to integrating disparate data sources, ensuring data quality, and aligning ontologies across departments. In large organizations, there can be legacy systems and inconsistent data formats, making it difficult to create a unified semantic model. Additionally, Semantic Engineers must collaborate closely with data architects, subject matter experts, and software developers to ensure the knowledge graph accurately reflects the organization's information needs and remains scalable as requirements evolve.

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

To thrive as a Semantic Analyst, you need expertise in linguistics, natural language processing (NLP), data analysis, and a relevant degree such as linguistics, computer science, or information science. Familiarity with tools like Python, NLP libraries (e.g., NLTK, spaCy), and semantic annotation systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex language data and collaborate with technical teams. These competencies are vital to accurately extract, structure, and apply meaning from language data, driving insights and solutions in various industries.

What are popular job titles related to Semantic jobs in Portland, OR?

For Semantic jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Semantic jobs in Portland, OR look for?

The top searched job categories for Semantic jobs in Portland, OR are:

Infographic showing various Semantic job openings in Portland, OR as of August 2026, with employment types broken down into 84% Full Time, 9% Part Time, and 7% Contract. Highlights an 72% Physical, 7% Hybrid, and 21% Remote job distribution, with an average salary of $125,854 per year, or $60.5 per hour.

Head of Data Engineering & Platform

Mercury

Portland, OR โ€ข On-site

$362K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

In the early 1970s, Ken Thompson and Dennis Ritchie built Unix around a deceptively simple idea: create small, composable tools that work well together. That philosophy went on to shape modern operating systems, developer tooling, cloud infrastructure, and much of the software we rely on todayโ€”not because any individual tool was revolutionary, but because the platform made everyone else more productive.

We\'re looking for a Head of Data Engineering & Platform who can build the data platform that gives Mercury that same leverageโ€”creating a foundation where trusted data is easy for both people and AI systems to discover, understand, and work with.

In this role, you\'ll lead and grow a high-performing team of data engineers responsible for Mercury\'s core data infrastructure. You\'ll shape the architecture, tooling, and engineering practices that enable reliable analytics, accelerate product development, and enable the next generation of AI-powered products and internal tools.

* Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.

Here are some things youโ€™ll do on the job:

  • Build, lead, and develop a high-performing team of senior data and analytics engineers responsible for Mercury\'s core data infrastructure, setting a high technical bar and cultivating a strong engineering culture
  • Define and execute Mercury\'s long-term data platform strategy, building the architecture, tooling, and reusable data products that power analytics, AI, operational systems, and self-service across the company
  • Build a platform that makes Mercury\'s data easy for both people and AI systems to discover, understand, and use, investing in semantic models, metadata, and developer tooling that make trusted data reusable across the company
  • Establish the foundations for a trusted, resilient data platform by driving best practices for reliability, observability, data quality, governance, privacy, security, and regulatory compliance
  • Partner closely with Engineering, Product, Data Science, Security, and Infrastructure leaders to ensure Mercury\'s data platform accelerates product development, business operations, and decision-making

You should:

  • Bring 10+ years of relevant experience, including 5+ years leading data or engineering teams
  • Have architected modern data platforms at scale, building the data foundations, semantic layers, metadata, and platform capabilities that power analytics, AI, machine learning, and operational systems
  • Demonstrate the technical judgment and organizational influence to evolve data architecture through periods of rapid growth, balancing long-term, well-governed platform investments with near-term product needs
  • Bring deep expertise in modern data infrastructure, including data modeling, orchestration, streaming, storage systems, metadata, and governance
  • Have experience partnering with Security, Legal, Compliance, and Privacy teams to ensure data platforms meet the privacy, security, and regulatory standards expected of a regulated financial institution

The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidateโ€™s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

  • US employees: $289,700-$362,100
  • Canadian employees (any location): CAD $273,800-$342,200

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

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