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Knowledge Engineering Jobs in Oregon (NOW HIRING)

Principal Software Engineer, Knowledge Platform

OR · Remote

$134.90K - $180.80K/yr

Experience with data engineering and ETL pipelines. * Experience with cloud and distributed systems. * Prior experience working with knowledge graphs is a plus. #LI-BM #LI-REMOTE About Dataminr At ...

OR

$91K - $121K/yr

Adhere to sound software engineering practices. Competencies: * Solid foundational understanding and application of Computer Science principles. * Proficiency in knowledge graph technologies (e.g.

OR

$91K - $121K/yr

Adhere to sound software engineering practices. Competencies: * Solid foundational understanding and application of Computer Science principles. * Proficiency in knowledge graph technologies (e.g.

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Fluent Engineering is a growing MEP engineering firm based in Salem, Oregon, dedicated to ... KNOWLEDGE AND EXPERIENCE * At least 3 years of experience in MEP design or construction which would ...

Engineering Manager

OR · On-site +1

$144K - $160K/yr

Good knowledge of Microsoft technology engineering stack (.NET, Azure, Azure DevOps) * Eagerness to obtain domain knowledge to effectively use technical qualifications. * Exceptional leadership and ...

New

While primarily focused on geotechnical engineering, there are opportunities to expand into ... Knowledge of Pacific Northwest glacial, fluvial, and bedrock geology. * Experience classifying ...

OR

$121.40K - $156.80K/yr

Act as the primary Knowledge representative for governance-related work with Product, Engineering, Legal, TechGov, and CX stakeholders. Influence standards and tooling decisions that affect the ...

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... knowledge of ACI concrete design, and be well-versed in industry codes such as ASCE 7, IBC, and MSHA/OSHA regulations as they relate to conveyor engineering. Operationally, the successful candidate ...

Urgent

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... knowledge of ACI concrete design, and be well-versed in industry codes such as ASCE 7, IBC, and MSHA/OSHA regulations as they relate to conveyor engineering. Operationally, the successful candidate ...

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... knowledge of ACI concrete design, and be well-versed in industry codes such as ASCE 7, IBC, and MSHA/OSHA regulations as they relate to conveyor engineering. Operationally, the successful candidate ...

The Engineering Manager is a technical and people leader within the development engineering team ... Working knowledge of laser safety and laboratory best practices. * Strong technical judgment with ...

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Knowledge Engineering information

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

To thrive as a Knowledge Engineer, you need a strong background in computer science, logic, and data modeling, often supported by a relevant degree. Familiarity with knowledge representation systems, ontologies, semantic web technologies, and tools like Protégé is typically required, along with experience in programming languages such as Python or Java. Strong analytical thinking, problem-solving abilities, and clear communication skills help you collaborate with subject matter experts and translate complex information into structured formats. These skills are critical for building effective knowledge-based systems that drive intelligent decision-making and organizational efficiency.

How does a Knowledge Engineer typically collaborate with subject matter experts during a project?

Knowledge Engineers frequently work closely with subject matter experts (SMEs) to extract, structure, and formalize domain knowledge into usable formats for AI systems or knowledge bases. This collaboration often involves conducting interviews, facilitating workshops, and reviewing documentation to ensure complex concepts are accurately captured. Effective communication and iterative feedback are key, as Knowledge Engineers must bridge the gap between technical requirements and expert insights. This teamwork helps ensure that the resulting system is both technically sound and aligned with real-world practices.

What is knowledge engineering?

Knowledge engineering is a field within artificial intelligence that focuses on creating systems capable of simulating human decision-making and reasoning. It involves gathering, organizing, and structuring information so that computers can use it to solve complex problems. Knowledge engineers work to build knowledge bases and rule-based systems, often collaborating with domain experts to codify expertise into a form that machines can process. This discipline is fundamental in the development of expert systems, intelligent agents, and modern AI applications.

What is the difference between Knowledge Engineering vs Data Scientist?

AspectKnowledge EngineeringData Scientist
Required CredentialsTypically degrees in computer science, AI, or related fields; certifications in knowledge systemsDegrees in statistics, computer science, or mathematics; certifications in data analysis or machine learning
Work EnvironmentDeveloping knowledge bases, expert systems, and AI applications in tech or research settingsAnalyzing data, building predictive models, and deriving insights in various industries
Employer & Industry UsageUsed in AI development, research institutions, and tech companiesUsed across finance, healthcare, marketing, and tech sectors

While both roles involve working with data and AI, Knowledge Engineers focus on creating structured knowledge bases and expert systems, whereas Data Scientists analyze data to extract insights and build predictive models. Understanding these differences helps in choosing the right career path or job focus.

What are popular job titles related to Knowledge Engineering jobs in Oregon? For Knowledge Engineering jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Knowledge Engineering jobs in Oregon look for? The top searched job categories for Knowledge Engineering jobs in Oregon are:
Infographic showing various Knowledge Engineering job openings in Oregon as of May 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
Principal Software Engineer, Knowledge Platform

Principal Software Engineer, Knowledge Platform

Dataminr

Remote

$134.90K - $180.80K/yr

Full-time

PTO

Posted yesterday


Job description

See yourself at Dataminr

We are looking for a Principal Software Engineer to join our AI knowledge team. The knowledge team builds and maintains our multi-million node knowledge graph, which powers Dataminr's real-time event detection and alerting platform. As a Principal Software Engineer, you will apply your experience in software engineering, data engineering, and AI to shape the future of Dataminr's knowledge platform. This US-based role can be remote or based out of our New York City office.

AI Innovation at Dataminr

Working at Dataminr you'll have the opportunity to tackle the most exciting trends in AI on a daily basis to power a revolutionary product that uncovers critical events around the world as they unfold.

Regenerative AI: our AI technology, ReGenAI, is a new form of generative AI that automatically regenerates real-time Live Event Briefs as events unfold. Learn more here.

Agentic AI: we recently launched our Agentic AI capability, what we're calling our Intel Agents, that autonomously generates critical context for our clients on real-time events, threats, and risks allowing them to see the clearest, most accurate view of what's happening on the ground. Learn more here

Multimodal AI: our platform detects events from many different types of data (images, video, sensor data, audio, and text in over 150 languages). Learn more here.

The opportunity

  • Lead multi-team initiatives supporting the development of Dataminr's Knowledge Platform.

  • Implement industry best practices along with novel patterns and technologies that will help improve the codebase and the product.

  • Develop pipelines and services for building and maintaining our massive-scale knowledge graph.

  • Work with other software engineers, data scientists and AI researchers in cross-functional teams to develop new capabilities that fuse knowledge and AI for automated alerting at scale.

  • Develop and apply AI solutions that automate data quality assessments and updates to the knowledge graph.

  • Develop solutions for knowledge graph data access and management, which includes the use of GenAI/LLMs.

  • Work on applications of AI over the knowledge graph.


What you bring
At Dataminr, we value you for who you are. We encourage you to apply for this role, even if you don't meet every qualification. Our candidates are reviewed on the basis of their skill and potential to succeed.

  • M.S. in Computer science. Ph.D. studies in any field is a plus.

  • 10+ years of software engineering experience

  • Proven track record of implementing and following strong engineering practices through hands-on coding

  • Experience mentoring and/or influencing Sr and Jr engineering team members in evolving their skills as software engineers

  • Proficiency in programming languages such as Python, Java, and Scala.

  • Experience with data engineering and ETL pipelines.

  • Experience with cloud and distributed systems.

  • Prior experience working with knowledge graphs is a plus.

#LI-BM

#LI-REMOTE

About Dataminr

At Dataminr, we are a mission driven team of talented builders, creators and visionaries who have real-world impact on how organizations are able to respond to events. Dataminr's groundbreaking, AI-powered, intelligence platform provides organizations with the earliest signals of emerging risks, events, and threats before they unfold. Trusted by two-thirds of the Fortune 50 and half of the Fortune 100, Dataminr's platform analyzes billions of public data inputs spanning text, image, video, audio and sensor data across 150+ languages, empowering our clients to stay one step ahead in an increasingly complex world where every second counts.

Founded in 2009, we have pioneered the world's first real-time event detection platform, long before the recent Gen AI 'boom.' Dataminr operates all around the world united by our passion to use AI for the greater good, be agents of positive change and put our technology into the hands of clients charged with the responsibility to keep organizations running and keep people safe.

As our employees focus on developing our revolutionary technology, we focus on our employees. Dataminr is proud to offer a variety of flexible work arrangements, offices all over the world to foster collaboration, generous PTO and sick leave, and more, as part of our competitive benefits package aimed at keeping all our employees happy and healthy. Explore all our benefits here.

We believe our differences give us strength. Our employees are empowered to be their best, authentic selves through various opportunities, such as our robust employee resource group (ERG) network, manager development programming, professional development funds, and more.

We serve a global community made up of many cultures and strive to reflect the world and clients we serve, with a workforce built on merit and equity. We actively condemn racism and discrimination in any form. We stand for social good, fostering a culture of allyship, and standing up for those who face systemic barriers to equality. We lead with empathy and strive to be agents of positive change in our company and in our communities.

The annual base salary range for this position is $160,480 - $262,000. You will also be eligible to receive a discretionary bonus and Company equity. Actual salary will be based on a number of factors including, but not limited to, geographic location, applicant skills, and prior relevant experience.

Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status.

Dataminr will collect and process your personal data in accordance with Dataminr's candidate privacy notice available here. By providing your details and applying via our careers website, you acknowledge that you have read our candidate privacy notice. If you have any queries, please contact recruiting@dataminr.com or privacy@dataminr.com.

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