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Knowledge Graph Jobs in Virginia (NOW HIRING)

Peraton

Senior Level Systems Integrator

Chantilly, VA · On-site

$135K - $216K/yr

Knowledge of graph data science (GDS) and knowledge graph applications supporting AI/ML or MBSE initiatives * Experience developing proof-of-concepts for emerging technologies * Ability to design and ...

Anika Systems

Data Architect

Leesburg, VA · On-site +1

$64.50 - $83/hr

Design and implement Knowledge Graph architectures, integrating structured and unstructured data sources. AI, Knowledge Graphs & Semantic Architecture * Design and implement Knowledge Graphs and ...

Oran, Inc.

Principal AI Solutions Architect

Herndon, VA · On-site +1

Knowledge graph integrations * Design and implement AI governance frameworks including: * Responsible AI * AI Guardrails * Model monitoring * Risk management * Compliance controls * Implement and ...

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Knowledge Graph information

What are the key skills and qualifications needed to thrive in the Knowledge Graph position, and why are they important?

To thrive as a Knowledge Graph Engineer, you need strong skills in semantic web technologies, ontology modeling, and data integration, typically supported by a background in computer science or data science. Familiarity with tools like RDF, SPARQL, OWL, and knowledge graph platforms (e.g., Neo4j, GraphDB) is common, and certifications in data engineering or semantic technologies are beneficial. Effective communication, problem-solving abilities, and cross-functional collaboration are valuable soft skills in this field. These competencies are crucial for designing, implementing, and maintaining knowledge graphs that enable advanced data discovery and insights for organizations.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like ML engineer or data scientist, are generally well-paid due to the specialized skills required, such as programming, statistics, and knowledge of algorithms. Salaries tend to be higher than average in tech hubs and often increase with experience, certifications, and proficiency in tools like Python, TensorFlow, or PyTorch.

What is a knowledge graph job description?

A knowledge graph job description typically involves designing, developing, and maintaining knowledge graphs that organize and connect data for improved search, reasoning, and data integration. The role often requires skills in data modeling, graph databases like Neo4j, and understanding of semantic technologies such as RDF and OWL. Professionals in this field may work with data scientists, software engineers, and domain experts to ensure accurate and efficient knowledge representation.

What is a Knowledge Graph job?

A Knowledge Graph job typically involves designing, building, and maintaining structured representations of data that map relationships between entities. Professionals in this role work with technologies like RDF, SPARQL, ontologies, and graph databases to enhance data integration, retrieval, and reasoning. These jobs are common in AI, search, and data science fields, helping organizations improve knowledge discovery and decision-making.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI product executive, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such salaries are rare and generally found in top tech companies or specialized AI firms.

What engineer makes $500,000 a year?

Senior data engineers or machine learning engineers working in high-demand industries such as technology, finance, or AI can earn salaries around $500,000 annually, especially with extensive experience, advanced skills in big data tools, and relevant certifications. Compensation varies based on location, company size, and individual expertise.

What are some typical daily responsibilities of a Knowledge Graph Engineer?

As a Knowledge Graph Engineer, your typical day involves designing and developing ontologies, integrating diverse data sources, and implementing graph-based data models to enhance information accessibility. You may work closely with data scientists, software developers, and business analysts to gather requirements and translate them into scalable knowledge graph solutions. Regular tasks include writing SPARQL queries, performing data mapping, maintaining documentation, and troubleshooting graph data issues. Collaboration and ongoing learning are integral as this field rapidly evolves with new tools and best practices.

What are the most commonly searched types of Knowledge Graph jobs in Virginia? The most popular types of Knowledge Graph jobs in Virginia are:
What are popular job titles related to Knowledge Graph jobs in Virginia? For Knowledge Graph jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Knowledge Graph jobs in Virginia look for? The top searched job categories for Knowledge Graph jobs in Virginia are:
Knowledge Graph jobs near you
Graph Database Engineer (JanusGraph) - TS/SCI w/Poly

Graph Database Engineer (JanusGraph) - TS/SCI w/Poly

Leading Path Consulting

Chantilly, VA • On-site

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

NOW WILLING TO GO UP TO $300k+ SALARY
Active TS/SCI w/ FS Poly required
Graph Database Engineer
Chantilly, VA.
We are looking for an experienced Systems Software Engineer to join our team, interested in designing, developing and maintaining essential software systems. The optimal candidate will have demonstrated experience integrating solutions with graph databases, such as JanusGraph. They will also have a strong background in systems software development, experience with 3rd party system integration, expertise in ElasticSearch, and a solid understanding of data modeling concepts. This is a fantastic opportunity to work on a challenging project that requires innovative solutions and collaborative problem-solving.
KEY RESPONSIBILITIES
• Design, develop, test, and deploy scalable and efficient software solutions
• Collaborate with cross-functional teams to identify and prioritize project requirements
• Participate with code reviews and ensure high-quality, modular, and reusable code
• Troubleshoot and debug issues in the application, including performance optimization and error handling
• Stay up-to-date with industry trends and emerging technologies, applying this knowledge to improve our application
• Design and implement data models that meet the needs of the application, ensuring data consistency and integrity
EDUCATION AND EXPERIENCE
• Bachelor's Degree in Computer Science, Electrical or Computer Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience.
• 5+ years of related software development experience.
Requirements
Required Qualifications:
• 5+ years of experience in systems software development in NodeJS
• Strong proficiency working with graph databases (for example JanusGraph) and graph query
languages
• Strong understanding of software design patterns, principles and best practices
• Excellent problem-solving skills, with the ability to work effectively in a team environment
• Basic understanding of data modeling concepts, including entity-relationship, data normalization, and
denormalization
• Experience with Git workflows, including feature branching, pull requests and code reviews
• Ability to work effectively in a Linux-based development environment
Desired Qualifications:
• Experience with Node.js, Express, MongoDB and Cassandra
• In-depth knowledge of ElasticSearch, including indexing, querying and aggregation
• Knowledge of containerization leveraging Kubernetes
• Familiarity with CI/CD pipelines and automation tools such as Jenkins or Argo CD
• Hands-on experience working with message brokers such as RabbitMQ or AWS SQS
Benefits
Vacation - 5 weeks of accrued paid vacation per year (i.e., 8.33 hours accrued per pay period worked)
• Holidays - Paid holidays published annually by the Office of Personnel Management, excluding Inauguration Day
• 100% paid for Health Benefits* (United Healthcare, Guardian Dental, VSP Vision, MetLife, Life and Disability Insurance and annual $1500 employer HSA contribution on qualified plans) *health benefits kick in the 1st of the month following your start date
• 6% 401k Contribution (3% paid out during each pay period, the additional 3% will be paid out as a lump sum in Q1 each year)
• Training Reimbursement - Approved training and education expenses will be reimbursed
• Travel Expenses - Approved travel expenses will be reimbursed *Note - From time to time, the company may change employee benefits.

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