Knowledge Graph Engineer

Hybrid in Richardson, TX, US • Posted 60+ days ago • Updated 17 hours ago

Contract Independent

Contract W2

Contract Corp To Corp

Hybrid

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Graph
Neo4j
Python
pyspark

Summary

Experience

8+ years of hands-on technical experience in Data Engineering, Software Development, or Analytics.
2+ years dedicated hands-on experience in Knowledge Graph development and relationship mapping, preferably with customer or client data.

Technical Skills

Knowledge Graph/Ontology: Deep practical expertise in graph data modeling, ontology development, and semantic modeling principles (RDF, RDFS, OWL, SHACL).
Graph Databases: Proven hands-on experience with at least one major Graph Database technology such as Neo4j, AWS Neptune, TigerGraph, or JanusGraph, and expertise in native query languages (Cypher, SPARQL, or Gremlin).
Graph Analytics: Strong experience with graph algorithms including community detection, centrality measures, path finding, pattern matching, and relationship scoring.
Programming: Strong proficiency in Python for data manipulation, graph algorithm implementation, and data transformations.
Data Engineering: Solid experience building scalable data pipelines using modern tools such as Apache Spark, Kafka, Airflow, or dbt.
Customer Data: Understanding of customer master data management, and entity resolution techniques.
Cloud & DevOps: Experience with version control (Git) and familiarity with CI/CD processes and major cloud platforms (AWS, Azure).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10126072
Position Id: 8844632
Posted 30+ days ago

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