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Knowledge Graph Jobs in Raleigh, NC (NOW HIRING)

Samprasoft

Machine Learning Engineer

Durham, NC

... Graph database), API and in-memory technologies * Strong knowledge of developing highly scalable distributed systems using Open-source technologies * Experience with CI/CD tools (e.g., Jenkins or ...

DPR Construction

Systems Administrator

Raleigh, NC · On-site

Documents best practices, knowledge base articles for existing and new systems * Microsoft systems ... PowerShell, Microsoft Graph, JavaScript, shell scripting * Enterprise identity management systems ...

Qualcomm

Sr Software Engineer, AI Tools - Quantizer

Raleigh, NC · On-site

$119K - $157K/yr

... knowledge of the capabilities of QAIRT SDK and use it to optimize inference of AI models on ... graph workloads, for embedded platforms • Familiarity with agentic AI frameworks (e.g. Claude ...

Varsity Tutors

Microeconomics Tutor

Durham, NC · Remote

$40/hr

Deep knowledge of supply and demand analysis, consumer theory, production and cost functions ... Adapts instruction using graph-drawing practice, real-world market examples, and problem-based ...

Varsity Tutors

AP Microeconomics Tutor

Durham, NC · Remote

$40/hr

Deep knowledge of basic economic concepts including scarcity and opportunity cost, supply and ... Adapts instruction using graph-drawing practice, real-world market examples, and AP-style ...

Varsity Tutors

AP Macroeconomics Tutor

Chapel Hill, NC · Remote

$40/hr

Deep knowledge of basic economic concepts, measuring economic performance, national income and ... Adapts instruction using current economic data, AP-style graph-based practice, and policy analysis ...

Varsity Tutors

GED Math Tutor

Durham, NC · Remote

$40/hr

Deep knowledge of GED Mathematical Reasoning content including basic arithmetic, fractions ... and graph interpretation for the GED Math test. Guides students through solving multi-step ...

Varsity Tutors

GED Math Tutor

Chapel Hill, NC · Remote

$40/hr

Deep knowledge of GED Mathematical Reasoning content including basic arithmetic, fractions ... and graph interpretation for the GED Math test. Guides students through solving multi-step ...

Varsity Tutors

Microeconomics Tutor

Raleigh, NC · Remote

$40/hr

Deep knowledge of supply and demand analysis, consumer theory, production and cost functions ... Adapts instruction using graph-drawing practice, real-world market examples, and problem-based ...

Varsity Tutors

AP Microeconomics Tutor

Raleigh, NC · Remote

$40/hr

Deep knowledge of basic economic concepts including scarcity and opportunity cost, supply and ... Adapts instruction using graph-drawing practice, real-world market examples, and AP-style ...

Varsity Tutors

AP Macroeconomics Tutor

Raleigh, NC · Remote

$40/hr

Deep knowledge of basic economic concepts, measuring economic performance, national income and ... Adapts instruction using current economic data, AP-style graph-based practice, and policy analysis ...

Varsity Tutors

SAT Math Tutor

Durham, NC · Remote

$40/hr

Deep knowledge of SAT Math topics including linear equations, systems, inequalities, algebraic ... Guides students through word problem translation, equation setup, graph interpretation, and ...

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$9

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How much do knowledge graph jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for knowledge graph in Raleigh, NC is $30.17, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $25.24 per hour, depending on experience, location, and employer.

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.

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 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 popular job titles related to Knowledge Graph jobs in Raleigh, NC? For Knowledge Graph jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Knowledge Graph jobs in Raleigh, NC look for? The top searched job categories for Knowledge Graph jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Knowledge Graph jobs? Cities near Raleigh, NC with the most Knowledge Graph job openings:
Knowledge Graph jobs near you
Infographic showing various Knowledge Graph job openings in Raleigh, NC as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $62,748 per year, or $30.2 per hour.
Machine Learning Engineer

Machine Learning Engineer

Samprasoft

Durham, NC

Other

Posted 23 days ago

Job description

Sr. Machine Learning Engineer

Duration: 12 -24 Months

Location: Merrimack, NH/ Smithfield, RI/ Westlake, TX/ Durham, NC/ Covington, KY/ Jersey City, NJ/ Boston, MA

Candidate should be local or willing to work onsite on any of the above locations for 5 days/ month

The Expertise And Skills You Bring
  • Bachelor’s or Master’s Degree in a technology related field (e.g. Engineering, Computer Science, etc.)
  • 8+ years of proven experience in implementing Big data solutions in data analytics space
  • 2+ years of experience in developing ML infrastructure and MLOps in the Cloud using AWS Sagemaker
  • Extensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement required
  • Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python’s ML ecosystem (numpy, panda, sklearn, tensorflow, etc.)
  • Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks
  • Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (DynamoDB, EKS, Graph database), API and in-memory technologies
  • Strong knowledge of developing highly scalable distributed systems using Open-source technologies
  • Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent)
  • Solid experience in Agile methodologies (Kanban and SCRUM)
  • Strong technical design and analysis skills
  • Ability to deal with ambiguity and work in fast paced environment
  • Experience supporting critical applications
  • Familiarity with applied data science methods, feature engineering and machine learning algorithms
  • Data wrangling experience with structured, semi-structured and unstructured data
  • Experience building ML infrastructure, with an eye towards software engineering
  • Excellent communication skills, both through written and verbal channels
  • Excellent collaboration skills to work with multiple teams in the organization
  • Ability to understand and adapt to changing business priorities and technology advancements in Big data and Data Science ecosystem

Required Skills : Basic Qualification : Additional Skills : Please do not send junior candidates, Need 10 plus years of experience.

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