ZipRecruiter

Log In

1

From Home Semantic Web Jobs (NOW HIRING)

Platinum Technologies

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

... from multiple internal and external sources. * Develop data integration frameworks that support enterprise ontologies, knowledge graphs, and Semantic Web technologies, including RDF, OWL, and SPARQL.

Platinum Technologies

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

... from multiple internal and external sources. * Develop data integration frameworks that support enterprise ontologies, knowledge graphs, and Semantic Web technologies, including RDF, OWL, and SPARQL.

Platinum Technologies

Data Engineer

Herndon, VA

$117K - $141K/yr

... from multiple internal and external sources. * Develop data integration frameworks that support enterprise ontologies, knowledge graphs, and Semantic Web technologies, including RDF, OWL, and SPARQL.

Platinum Technologies

Senior Developer

Herndon, VA

$56 - $74/hr

... from you. We lead with technical expertise, but that is just the tip of the iceberg - the 'Why ... Implement software solutions utilizing Semantic Web technologies, including RDF, OWL, and SPARQL ...

Platinum Technologies

Senior Software Engineer

Herndon, VA

$126K - $166K/yr

... from you. We lead with technical expertise, but that is just the tip of the iceberg - the 'Why ... Implement software solutions that leverage Semantic Web technologies, including RDF, OWL, SPARQL ...

Platinum Technologies

Senior Software Engineer

Herndon, VA · On-site

$126K - $166K/yr

... from you. We lead with technical expertise, but that is just the tip of the iceberg - the 'Why ... Implement software solutions that leverage Semantic Web technologies, including RDF, OWL, SPARQL ...

Platinum Technologies

Senior Developer

Herndon, VA · On-site

$56 - $74/hr

... from you. We lead with technical expertise, but that is just the tip of the iceberg - the 'Why ... Implement software solutions utilizing Semantic Web technologies, including RDF, OWL, and SPARQL ...

Platinum Technologies

Senior Developer

Herndon, VA · On-site

$56 - $74/hr

... from you. We lead with technical expertise, but that is just the tip of the iceberg - the 'Why ... Implement software solutions utilizing Semantic Web technologies, including RDF, OWL, and SPARQL ...

Associatedbank

Knowledge Engineer

North East, PA · On-site +1

Align data from multiple systems by mapping technical data to shared business definitions and ... Enable advanced data discovery and analytics by applying semantic web standards, graph technologies ...

Platinum Technologies

Senior Software Engineer

Herndon, VA · On-site

$126K - $166K/yr

... from you. We lead with technical expertise, but that is just the tip of the iceberg - the 'Why ... Implement software solutions that leverage Semantic Web technologies, including RDF, OWL, SPARQL ...

Platinum Technologies

Senior Software Engineer

Herndon, VA · On-site

$126K - $166K/yr

... from you. We lead with technical expertise, but that is just the tip of the iceberg - the 'Why ... Implement software solutions that leverage Semantic Web technologies, including RDF, OWL, SPARQL ...

Squirro

Knowledge Graph Engineer

New York, NY · On-site

Manage client engagements from pre-sales through onboarding, deployment, and training, ensuring ... In-depth knowledge of semantic web standards (RDF, SKOS, OWL, SPARQL) * Familiarity with graph ...

Jobsbridge

Lead Web Developer

San Jose, CA · On-site

Company Description Hello, Greetings from Jobsbridge ! Jobsbridge, Inc . is a fast growing Silicon ... Experience with JavaScript/AJAX, semantic HTML/XHTML and CSS Experience with common libraries ...

NextGenEnergyJobs

Graph Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Lead the alignment of discovered data elements from local systems to the shared Enterprise Core ... Ontology & Semantic Standards: Working experience with formal ontology or semantic web standards (e ...

previous pagenext page

Showing results 21-40

All JobsRemote JobsTechnology JobsFrom Home Semantic Web Jobs

From Home Semantic Web information

See salary details

$49.5K

$117.9K

$241K

How much do from home semantic web jobs pay per year?

As of Sep 14, 2026, the average yearly pay for from home semantic web in the United States is $117,880.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $128,000.00 per year, depending on experience, location, and employer.

What is a from home semantic web specialist?

A 'From Home Semantic Web' job refers to remote positions involving the development, management, or application of semantic web technologies. These roles typically focus on structuring and connecting data on the internet using standards like RDF, OWL, and SPARQL, enabling machines to understand and interpret web content more effectively. Working from home in this field allows professionals to collaborate virtually on projects such as linked data, ontology design, or knowledge graph creation for various industries. Common job titles include Semantic Web Developer, Ontology Engineer, and Data Scientist, all of which can be performed remotely with the right technical setup.

How does working from home as a semantic web specialist impact collaboration with teams and project stakeholders?

As a Semantic Web specialist working remotely, collaboration typically relies on digital communication tools such as video conferencing, shared documentation platforms, and version control systems. You’ll often coordinate with data engineers, software developers, and project managers to align on ontology design, data integration, and implementation strategies. While remote work offers flexibility, it also requires proactive communication and self-management to ensure everyone stays aligned and project milestones are met. Regular virtual meetings and clear documentation are essential to address any challenges that arise due to differing time zones or asynchronous workflows.

What are the key skills and qualifications needed to thrive as a semantic web specialist working from home?

To thrive as a Semantic Web Specialist, you need expertise in web technologies, ontologies, RDF, SPARQL, and typically a degree in computer science or a related field. Familiarity with tools like Protégé, semantic reasoners, and knowledge of standards such as OWL are commonly required. Strong analytical thinking, self-motivation, and effective remote communication skills are vital for success in a home-based role. These competencies ensure efficient development and integration of semantic technologies while maintaining productivity and collaboration remotely.

What is the difference between From Home Semantic Web vs Data Analyst?

AspectFrom Home Semantic WebData Analyst
Required CredentialsKnowledge of Semantic Web technologies, RDF, OWL, SPARQLStatistics, data analysis, SQL, Excel
Work EnvironmentRemote, online collaboration, web-based toolsRemote or on-site, data visualization tools
Industry UsageWeb development, knowledge management, AIBusiness intelligence, finance, marketing
Search & Comparison IntentSemantic Web skills, remote Semantic Web jobsData analysis roles, remote Data Analyst jobs

From Home Semantic Web professionals focus on web technologies and knowledge representation, often working remotely in tech or AI industries. Data Analysts analyze data sets to inform business decisions, also frequently working remotely. While both roles can be remote, their skill sets, tools, and industry applications differ significantly.

More about From Home Semantic Web jobs

What cities are hiring for From Home Semantic Web jobs?

Cities with the most From Home Semantic Web job openings:

What are the most commonly searched types of Semantic Web jobs?

The most popular types of Semantic Web jobs are:

What states have the most From Home Semantic Web jobs?

States with the most job openings for From Home Semantic Web jobs include:

What job categories do people searching From Home Semantic Web jobs look for?

The top searched job categories for From Home Semantic Web jobs are:

What other helpful pages are available for From Home Semantic Web?

Other pages related to From Home Semantic Web:

From Home Semantic Web jobs near you
Infographic showing various From Home Semantic Web job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 76% Full Time, 19% Part Time, and 3% Contract. Highlights an 73% Physical, 1% Hybrid, and 26% Remote job distribution, with an average salary of $117,880 per year, or $56.7 per hour.

Data Engineer

Herndon, VA • On-site

Platinum Technologies
See more jobs at Platinum Technologiesexternal

$117K - $141K/yr

Full-time

Re-posted 4 days ago

Job description

Who we are.
Platinum Technologies is a Northern Virginia based integrated solutions firm that specializes in Cybersecurity, Cloud and Digital Services to the Public Sector. Our team solves hard problems and helps our Mission Partners achieve their goals. If you are self-motivated, possess demonstrated learning agility, and are passionate about delivering high-quality work products - we want to hear from you.
We lead with technical expertise, but that is just the tip of the iceberg - the 'Why' matters. At Platinum, we don't hire people to do a job. We provide professional and leadership development to complement our self-motivated domain experts. Our teammates are dot-connecting leaders that operate in a mutually accountable environment to deliver thought leadership, expert technical analysis, and quality execution for our clients.
This position requires an active U.S. Government Security Clearance at the TS/SCI level with CI polygraph.
You.
Platinum Technologies is seeking a Data Engineering Subject Matter Expert (SME) to join our team. In this position you will provide technical leadership for the design, implementation, and optimization of enterprise data engineering solutions supporting Object-Based Intelligence (OBI) mission requirements, ontology-driven data integration, and advanced analytics.
The Data Engineering Subject Matter Expert serves as the senior technical authority for developing and implementing scalable data architectures, pipelines, and integration frameworks that enable the ingestion, transformation, management, and delivery of structured, semi-structured, and unstructured data. This position applies data engineering best practices to support enterprise ontologies, knowledge graphs, Semantic Web technologies, and AI/ML applications while ensuring data quality, governance, interoperability, and security across diverse mission systems. Working closely with ontology engineers, software engineers, database engineers, data scientists, and Government stakeholders, the Data Engineering SME develops modern data solutions that support mission analytics, knowledge discovery, and decision advantage.
What you get to do.
  • Lead the design, development, and implementation of enterprise data engineering solutions supporting Object-Based Intelligence mission requirements.
  • Design and optimize scalable data pipelines for ingesting, transforming, validating, and integrating data from multiple internal and external sources.
  • Develop data integration frameworks that support enterprise ontologies, knowledge graphs, and Semantic Web technologies, including RDF, OWL, and SPARQL.
  • Collaborate with ontology engineers, software engineers, database engineers, analysts, and Government stakeholders to translate mission requirements into scalable data engineering solutions.
  • Design and implement data architectures supporting cloud-native, distributed, and hybrid computing environments.
  • Establish data quality, metadata management, lineage, and governance processes to ensure consistency, traceability, and interoperability across enterprise data assets.
  • Optimize data processing performance using modern distributed processing frameworks and scalable storage technologies.
  • Support AI/ML initiatives by developing reliable, high-quality data pipelines that provide curated datasets and semantic context for model training, inference, and decision support.
  • Develop automated monitoring, validation, and testing capabilities to ensure data accuracy, completeness, and operational reliability.
  • Produce and maintain technical documentation, data flow diagrams, interface specifications, data dictionaries, and engineering standards.
  • Provide technical leadership, mentoring, and knowledge transfer activities to Government personnel and project team members regarding data engineering best practices, modern data architectures, and enterprise integration strategies.

Required Skills.
  • Must be a U.S. citizen and have an active TS/SCI with CI polygraph.
  • Minimum twelve (12) years of experience and an advanced degree or 17 years of experience with a bachelor's degree.
  • Demonstrated experience designing and implementing enterprise-scale data engineering solutions and data integration architectures.
  • Experience developing ETL/ELT pipelines using modern data engineering tools and frameworks.
  • Experience integrating structured, semi-structured, and unstructured data from heterogeneous enterprise data sources.
  • Experience with relational databases, NoSQL databases, graph databases, and distributed data processing platforms.
  • Knowledge of data modeling, metadata management, data governance, and enterprise data architecture principles.
  • Familiarity with Semantic Web technologies, knowledge graphs, or ontology-based data integration.
  • Experience supporting cloud-based or containerized data platforms, including Kubernetes and OpenShift.
  • Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.

The Company is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply