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Stardog Jobs (NOW HIRING)

Prophecy Technologies

Graph Data Engineer

Denver, CO · On-site +1

$117K - $141K/yr

Work extensively with graph databases such as Stardog and Neo4j. * Perform data processing and visualization using SQL, Python, and JavaScript. * Apply deep domain knowledge in telecom network ...

EXXETA AG

$102.72 - $171.19/hr

B. Stardog, GraphDB, Metaphacts, Altair/AnzoGraph, Neo4j) gekonnt ein und modelliere Ontologien. * Du baust, wartest und verifizierst Ontologien und Knowledge Graphen, mit und ohne KI ...

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TSC

Senior AI Engineer

Dahlgren, VA · On-site

$106K - $146K/yr

... e.g., Stardog, Neptune, Neo4j). • Lead the development and writing of technical approaches for proposals related to supporting the Navy adopt AI technologies. Qualifications : Required : • ...

Accord Technologies Inc.

Senior AI Engineer

Philadelphia, PA · On-site

$123K - $163K/yr

Develop and maintain graph databases (GraphDB, Neo4j, Stardog) in production or advanced PoC setups. * Load, validate, and query ontologies within triple store environments. * Collaborate with Data ...

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Stardog information

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.

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Infographic showing various Stardog job openings in the United States as of August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 85% In-person, and 15% Remote job distribution.

IBM WATSON LangGraph Developer

Maven Companies

Dallas, TX • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

  • IBM Watson orchestrate agentic development
  • Langraph agentic development
  • Stardog ontology
  • Apache zena ontology creation
  • Big query db design

Sr. Software Engineer – AWS Agentic Frameworks (LangGraph)

Responsible for designing, developing, and implementing agentic solutions using IBM Watson Orchestrate and LangGraph on cloud-native architectures. The role involves building scalable digital applications, integrating ontologies with Stardog and Apache Zena, and designing efficient data models on BigQuery to support intelligent, data-driven systems. 

Key Responsibilities

- Design and develop agentic workflows and solutions using IBM Watson Orchestrate.
- Implement and maintain LangGraph-based agentic frameworks for complex digital applications.
- Collaborate with cross-functional teams to integrate agentic capabilities into existing and new cloud solutions.
- Design and develop Stardog ontology models to support knowledge representation and reasoning.
- Create and manage ontologies using Apache Zena for semantic data modeling and integration.
- Design, optimize, and maintain BigQuery database schemas to support analytics and agentic workflows.
- Ensure scalability, performance, and reliability of cloud-based agentic applications on AWS.
- Implement best practices for cloud-native development, including CI/CD, monitoring, and observability for agentic services.
- Perform code reviews, provide technical guidance, and support continuous improvement of engineering practices.

Skills

- Proven experience in Digital Application & Cloud Engineering.
- Hands-on experience with AWS and cloud-native architectures.
- Strong experience with AWS - Agentic Frameworks - LangGraph (Technical).
- Experience with IBM Watson Orchestrate agentic development.
- Experience with LangGraph agentic development for building intelligent workflows.
- Experience in Stardog ontology modeling and management.
- Experience in Apache Zena ontology creation and semantic modeling.
- Strong expertise in BigQuery database design and optimization.
- Proficiency in at least one modern programming language commonly used in cloud and agentic solutions (such as Python, Java, or Node.js).
- Experience with CI/CD pipelines, version control, and automated testing in a cloud environment.
- Knowledge of data modeling, knowledge graphs, and semantic technologies is highly desirable.

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