Knowledge Graph Engineer

Pyramid Consulting, Inc; United States; Remote; USD 62,000 - 69,000; Part time

Benefits offered by this job

Remote work

Job summary

Pyramid Consulting, Inc. is seeking a Knowledge Graph Engineer for a 6+ month contract located in the US (Remote). The role focuses on designing graph data models, building ETL pipelines in Python, and optimizing Cypher queries to power search and discovery across pharma data.

You'll collaborate with cross-functional teams, deploy graph infrastructure on cloud platforms, and ensure data governance and compliance throughout the lifecycle.

Qualifications

• 3–4+ years hands-on experience with graph databases and graph modeling.
• Experience with Neo4j and Cypher query optimization.
• Proficiency in Python for ETL, data pipelines, and API development.
• Familiarity with life sciences data standards and NLP for unstructured documents.

Responsibilities

• Design and implement graph data models for entities across pipelines and documentation.
• Build and maintain ETL/ELT pipelines in Python to ingest data into Neo4j.
• Develop Cypher queries and APIs powering search and knowledge discovery.
• Support entity resolution and linkage across diverse data sources into a unified knowledge graph.
• Deploy and manage graph infrastructure on cloud platforms with data governance.
• Collaborate with stakeholders to translate domain needs into scalable graph schemas.
• Ensure data quality, lineage, and compliance with pharma standards.

Skills

Neo4j

Python

Cypher

NLP

Data modeling

API development

Cloud platforms

Git

CI/CD basics

RDF/SPARQL

Tools

py2neo/neo4j-driver

FastAPI/Flask

AWS/Azure/GCP

Git

CI/CD

Job description

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).

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 GCP).
• 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.

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.