ZipRecruiter

Log In

1

Stardog Jobs (NOW HIRING)

SOSi

Data Lake Engineer

Doral, FL

$105K - $127K/yr

The contractor shall configure and manage the integration interface between the Data Lake and the knowledge graph platform (Stardog), including SPARQL endpoint access, metadata federation, and ...

SOSi

Data Lake Engineer with Security Clearance

Miami, FL · On-site

$109K - $131K/yr

The contractor shall configure and manage the integration interface between the Data Lake and the knowledge graph platform (Stardog), including SPARQL endpoint access, metadata federation, and ...

Tiger Analytics Inc.

Ontology Architect

Hands-on experience designing and operating production-grade Graph Databases / Triple Stores (e.g., GraphDB, Stardog, Amazon Neptune, AllegroGraph, or Neo4j ). * Ontology Modeling Tools: Proficiency ...

SOSi

Data Lake Engineer

Doral, FL · On-site

$105K - $127K/yr

The contractor shall configure and manage the integration interface between the Data Lake and the knowledge graph platform (Stardog), including SPARQL endpoint access, metadata federation, and ...

SOSi

Data Lake Engineer

Doral, FL · On-site

$105K - $127K/yr

The contractor shall configure and manage the integration interface between the Data Lake and the knowledge graph platform (Stardog), including SPARQL endpoint access, metadata federation, and ...

NTT DATA Services

Ontology Expert - Remote

Dallas, TX · Remote

Technical Skills & Tools - Strong knowledge of OWL, RDF, SPARQL, and knowledge graph technologies. - Experience with ontology tools such as Protégé, TopBraid, or Stardog. - Familiarity with FHIR ...

PeopleTec, Inc.

Ontology Engineer

Huntsville, AL · On-site

Experience with at least one graph-based data store used to host ontology or linked data (e.g., a triplestore such as GraphDB, Stardog, or Apache Jena Fuseki; or a property graph database such as ...

next page

Showing results 1-20

All JobsStardog Jobs

Stardog information

What companies use Stardog?

Several organizations across industries such as technology, healthcare, and finance use Stardog for data integration and knowledge graph management. Companies like NASA, Pfizer, and AT&T have implemented Stardog to enhance data connectivity and analytics. Job seekers with skills in graph databases and data modeling may find opportunities in these environments.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually in the US typically include executive roles such as CEOs, CFOs, and other C-suite positions, as well as successful entrepreneurs, top-tier investment bankers, and certain specialized medical professionals like neurosurgeons. These roles often require extensive experience, advanced skills, and often involve leadership, strategic decision-making, or ownership responsibilities.

What tech jobs pay 400,000 a year?

High-level tech roles such as senior software engineers, solutions architects, and machine learning directors can reach or exceed a $400,000 annual salary, especially with experience, specialized skills, and in high-demand industries. These positions often require advanced knowledge of programming, cloud platforms, or data systems, along with leadership responsibilities and sometimes certifications like AWS or Google Cloud.

What are the benefits of working at Stardog?

Working as a Stardog employee offers opportunities to develop skills in data management, knowledge graph technology, and cloud-based solutions. The company provides a collaborative environment, competitive compensation, and access to innovative projects in the data integration space.

What is the difference between Stardog vs Data Scientist?

AspectStardogData Scientist
Required CredentialsKnowledge of graph databases, data modeling, and sometimes certifications in data managementDegree in data science, statistics, or related fields; certifications like CAP or DAS
Work EnvironmentPrimarily works with data management platforms, often in IT or data teamsAnalyzes data, builds models, and reports in various industries
Industry UsageUsed in data management, knowledge graphs, and enterprise data integrationApplied across finance, healthcare, tech, and more for insights and decision-making

Stardog focuses on data management and knowledge graph solutions, while Data Scientists analyze data to generate insights. Both roles require strong technical skills but serve different functions within data ecosystems.

More about Stardog jobs
What cities are hiring for Stardog jobs? Cities with the most Stardog job openings:
What states have the most Stardog jobs? States with the most job openings for Stardog jobs include:
What job categories do people searching Stardog jobs look for? The top searched job categories for Stardog jobs are:
Stardog jobs near you
Ontology Engineer-Knowledge Graph & Identity

Ontology Engineer-Knowledge Graph & Identity

Samba

San Francisco, CA • On-site

Full-time

Posted 11 days ago

Job description

Samba is a media intelligence company. We know what the world is watching, reading, and thinking about - in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it's the most interesting data asset on the planet, because it's the most culturally relevant.
As an Ontology Engineer on Samba TV's Knowledge Graph & Identity team, you will build, maintain, and extend the knowledge graph schemas, derivation pipelines, and graph data models that underpin Samba's measurement and audience intelligence products. Working closely with the Senior Ontologist and peer data scientists, you will implement ontological frameworks in production, contribute to entity resolution and data enrichment pipelines, and help ensure the graph layer remains accurate, consistent, and production-ready.
This is a hands-on technical role. You are expected to write clean, production-quality Python and SPARQL, take ownership of well-scoped graph work streams, and grow your depth in semantic modeling under the guidance of senior team members.
This role reports to the Data Science Manager, Knowledge Graph & Identity.
What You'll Do:
Ontology Implementation & Validation
  • Implement and extend Samba's RDF/RDFS/OWL ontology schemas in the graph database - adding entity classes, properties, and constraints in a consistent, governed way under the direction of the Senior Ontologist
  • Build and maintain SHACL validation shapes for post-load graph consistency checks; identify and triage data quality and schema violations
  • Support ontology versioning, change log documentation, and consistency checking across schema updates
  • Write efficient, well-structured SPARQL queries and graph traversals to support downstream data science and product use cases
Event-to-Ontology Derivation Pipelines
  • Contribute to the event-to-ontology transformation and derivation layer - building PySpark/Databricks pipelines that aggregate raw TV viewership and web activity events into durable graph attributes (genre affinity, brand affinity, topic affinity, viewing summaries, lifecycle signals)
  • Implement derivation logic specified by the Senior Ontologist and data science team; validate outputs against SHACL shapes before graph load
  • Support incremental refresh and update logic aligned with the graph's batch refresh cadence
Technical Contribution
  • Write production-quality Python - clean, well-tested, documented, and reusable by teammates
  • Work with PySpark and Databricks to process and transform high-volume data as part of graph pipeline development
  • Apply embedding-based approaches (semantic similarity, vector search) to entity matching and ontology alignment tasks
  • Contribute to team tooling, documentation, and reusable components that improve knowledge graph development efficiency
Collaboration & Growth
  • Partner closely with data engineering on pipeline design, data quality, and incremental ingestion patterns feeding the materialized graph substrate
  • Participate in ontology design reviews and cross-functional working groups
  • Work with product and operations teams to understand use case requirements and translate them into graph schema updates
  • Actively develop expertise in W3C semantic web standards, RDF-native graph databases, and entity resolution under the guidance of the Senior Ontologist

Who You Are:
Must-Haves
  • 2-4 years of hands-on experience in knowledge graph development, semantic data modeling, ontology engineering, or a closely related field
  • Working knowledge of W3C semantic web standards: RDF, RDFS, OWL, and SPARQL - with practical experience querying or building in at least one triplestore or graph database
  • Familiarity with SHACL or equivalent constraint and validation frameworks for graph data quality
  • Strong Python skills - clean, readable, production-quality code with testing and documentation
  • Solid understanding of data modeling fundamentals - entity-relationship design, taxonomies, hierarchies, and how to represent complex real-world relationships in structured form
  • Familiarity with entity resolution or data matching concepts - understanding of why the same real-world entity appears under different identifiers across data sources
  • Bachelor's degree required in Computer Science, Information Science, Mathematics, or a related field; Master's preferred
  • Detail-oriented and proactive about flagging data quality issues and schema inconsistencies
Strongly Preferred
  • Hands-on experience with Amazon Neptune or Stardog - or equivalent RDF-native triplestore; exposure to data virtualization (Neptune Orion or Stardog Virtual Graphs) a plus
  • Working knowledge of PySpark and Databricks - particularly for large-scale event aggregation and transformation pipelines
  • Familiarity with embedding models, vector search, or semantic similarity - applied to entity matching, ontology alignment, or knowledge graph enrichment
  • Experience with LLM APIs or RAG-based approaches applied to information extraction, entity disambiguation, or schema mapping
  • Domain knowledge in media, entertainment, or ad tech - content metadata, advertising entities, TV viewership data, or audience/identity data
  • Exposure to identity resolution, probabilistic record linkage, or device graph approaches

$150,000 - $180,000 a year
Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.
Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy For residents of the EU , Samba Inc. is the data controller.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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