Knowledge Graph Engineer Remote

• Posted 3 hours ago

• Updated 3 hours ago Contract W2 6 Months Remote $45 - $50/hr Fitment Dice Job Match Score™ 🔢 Crunching numbers... Job Details Skills AWS Azure or

GCP RDF/SPARQL AWS

Azure or

GCP RDF/SPARQL

Summary Immediate need for a talented Knowledge Graph Engineer . This is a 06+ Months Contract opportunity with long-term potential and is located in US (Remote) . Please review the job description below and contact me ASAP if you are interested.

Job ID:

26-29670

Pay Range:

$45 - $50/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:

Design and implement graph data models that represent entities and relationships across drug discovery pipelines and clinical documentation. Build and maintain ETL/ELT pipelines in Python to ingest structured and unstructured data into Neo4j. Develop and optimize Cypher queries and APIs that power search, recommendation, and knowledge-discovery features. Support entity resolution and linkage across disparate data sources, connecting compounds, genes, diseases, and clinical documents into a unified knowledge graph. Deploy and manage graph infrastructure on cloud platforms, including provisioning Neo4j instances and ensuring compliance with data governance policies. Collaborate with cross-functional stakeholders to translate domain requirements into scalable graph schemas and queries. Ensure data quality, lineage, and compliance with pharma industry standards throughout the graph data lifecycle.

Key Requirements and Technology Experience:

3 4+ years of hands-on experience with Neo4j (or comparable graph database) schema design, Cypher query writing, and performance tuning. Strong Python skills for data pipelines, ETL, and API development (pandas, py2neo/neo4j-driver, FastAPI/Flask a plus). Working experience with at least one major cloud platform (AWS, Azure, or Google Cloud Platform). Understanding of data modeling concepts (relational-to-graph translation, ontology/taxonomy basics). Familiarity with version control (Git) and CI/CD basics. Exposure to life sciences data standards (FHIR, CDISC, UMLS, MeSH). Experience with NLP/entity extraction for unstructured documents. Knowledge of RDF/SPARQL or other semantic web technologies. Our client is a leading IT Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy . 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:

pyrmid

Position Id:

26-29670 Posted 3 hours ago