Enterprise Engineering Inc. (EEI)

Graph Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Graph Developer with a long-term consulting opportunity in NYC, requiring 3-4 days on-site work. Key skills include hands-on experience with graph databases, proficiency in Cypher or Gremlin, strong Java and Python programming, and heavy financial industry experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 13, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Consulting #AWS (Amazon Web Services) #Documentation #Data Ingestion #Scala #"ETL (Extract #Transform #Load)" #HBase #Data Modeling #Java #Programming #Python #Amazon Neptune #Neo4J #Data Science #Cloud #Graph Databases #Databases #Data Pipeline #Data Integration
Role description
Graph Developer 3-4 days on site Long Term Consulting Opportunity NYC, NY Responsibilities • Design and development: Architect, design, and implement graph-based data models and solutions. • Query optimization: Develop and optimize efficient graph queries using languages like Cypher, Gremlin, or SPARQL. • Data integration: Build and maintain data pipelines to load, transform, and integrate data from various sources into the graph database. • Performance and scalability: Ensure the graph database and related applications are scalable, performant, and secure. • Collaboration: Work with stakeholders and cross-functional teams (like data scientists, analysts, and other engineers) to define use cases and translate requirements into technical solutions. • Application development: Build applications or APIs that leverage the graph database for relationship analysis, recommendation engines, fraud detection, or other use cases. • Mentorship: Provide guidance and mentor junior developers on graph best practices. • Documentation: Create and maintain documentation for graph schemas, queries, and architectures. Required skills and experience • Hands-on experience with graph databases (e.g., Neo4j, Amazon Neptune). • Proficiency in graph query languages (e.g., Cypher , Gremlin , SPARQL ). • Strong programming skills in languages in Java and Python • Heavy financial experience • Familiarity with data modeling principles for connected data. • Experience with ETL processes and data ingestion. • Knowledge of cloud platforms like AWS is often a plus. • Understanding of data structures and algorithms, particularly related to graph theory. • Excellent communication and collaboration skills.