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# Data Engineer (Knowledge Graph)

- **Company:** VeeRteq Solutions Inc
- **Location:** Plano, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $96,800.0 - $145,200.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Artificial Neural Networks, Microsoft Azure, Big Data, Information Systems, Data Deduplication, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Warehousing, Query Languages, Graph Database, Python (Programming Language), Neo4j, Recommender Systems, Standard Sql, Semantic Web, SPARQL, Unstructured Data, Large Language Models, Snowflake, Apache Spark, Core Data, Information Technology, Search Engines, Graphql, Machine Learning Operations, Restful APIs, Data Pipelines, Databricks
- **Published:** September 5, 2026
- **Apply:** https://www.careerjet.com/jobad/us7cc28e3a09d9dff4aa8bcd736c5676d5

## About the Role

Education: Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
Data Engineering Experience: 8+ years of core data engineering experience working with SQL, Python/Scala, big data frameworks (Apache Spark), and cloud platforms (AWS, GCP, or Azure).
Graph Technologies: Hands-on experience with graph databases (e.g., Neo4j, Neptune, Stardog, AllegroGraph) and graph query languages (Cypher, SPARQL, or Gremlin).
Ontology & Semantics: Understanding of Semantic Web standards (OWL, RDF, SHACL, SKOS) or property graph principles.
Data Warehousing & Orchestration: Familiarity with modern data tools like Snowflake, Databricks, dbt, and workflow schedulers like Apache Airflow.
Preferred Skills
Experience with Graph Neural Networks (GNNs) or graph analytics algorithms (e.g., PageRank, Community Detection, Shortest Path).
Exposure to Retrieval-Augmented Generation (RAG) architecture using GraphRAG techniques for LLM applications.
Knowledge of vector databases and embedding generation alongside semantic graphs.
VeeRteq Solutions is an Equal Opportunity Employer

## Description

We are seeking a skilled Data Engineer with expertise in Knowledge Graphs to design, build, and maintain scalable data pipelines and graph databases. In this role, you will bridge traditional data engineering (ETL/ELT, data modeling, warehouse architecture) with graph technologies to turn complex, interconnected datasets into actionable semantic insights., Graph & Data Modeling: Design and implement graph data models (Property Graph / RDF) to represent complex business domains, entities, and relationships.
Pipeline Development: Build, optimize, and maintain robust ETL/ELT pipelines to ingest, transform, and map structured and unstructured data into graph storage systems.
Graph Architecture: Manage, query, and optimize graph database solutions (e.g., Neo4j, Amazon Neptune, GraphDB, TigerGraph) using query languages like Cypher, SPARQL, or Gremlin.
Data Integration & Quality: Implement entity resolution, link prediction, and data deduplication techniques to maintain high-quality semantic data integration.
API & Service Integration: Expose graph data through RESTful or GraphQL APIs for downstream analytics, recommendation systems, search engines, and AI/ML pipelines (including RAG implementations).
Cross-Functional Collaboration: Partner with Data Scientists, Software Engineers, and Product Managers to define requirements and deliver graph-powered tools.


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