Data engineer with Neo4j

Skylar IT Consulting LLC; Chicago (IL); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading data consulting firm in Chicago is seeking a skilled Data Engineer specializing in Graph Databases (Neo4j). In this role, you will design robust data pipelines, optimize performance, and create efficient Cypher queries. The ideal candidate should have a strong understanding of graph modeling and experience with Python/PySpark. This position offers an opportunity to innovate in high-traffic production environments.

Qualifications

• Experience designing and implementing data pipelines.
• Strong knowledge of graph data modeling and design principles.
• Proficiency in writing and optimizing Cypher queries.

Responsibilities

• Design, develop, and implement graph data models.
• Build and maintain high-performance ETL pipelines.
• Write and optimize advanced Cypher queries.
• Integrate Neo4j with existing data systems.

Skills

Graph Databases

Cypher

Python

PySpark

Job description

Job Summary

We are looking for a skilled Data Engineer specializing in Graph Databases (Neo4j) to design and maintain robust data pipelines and model complex data structures. The ideal candidate will be responsible for creating efficient Cypher queries, integrating data from various sources into Neo4j, and optimizing performance for high-traffic production environments.

Key Responsibilities

• Graph Modeling & Design: Design, develop, and implement graph data models (LPG/RDF) tailored for complex relationship analysis.
• ETL Pipeline Development: Build and maintain high-performance, stable data pipelines using Python/PySpark to ingest data into Neo4j.
• Query Optimization: Write, optimize, and debug advanced Cypher queries, utilizing APOC procedures for maximum efficiency.
• Data Integration: Integrate Neo4j with existing data systems,