Enterprise Engineering Inc. (EEI)

Graph Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Graph Developer in NYC, NY, offering a long-term consulting opportunity at a pay rate of "unknown." Candidates must have hands-on experience with graph databases, proficiency in Cypher or Gremlin, and strong financial industry experience.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
January 8, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
New York, United States
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🧠 - Skills detailed
#Programming #Data Modeling #Data Ingestion #"ETL (Extract #Transform #Load)" #HBase #Cloud #Python #Data Integration #Neo4J #Amazon Neptune #Data Pipeline #Graph Databases #Consulting #Data Science #Java #AWS (Amazon Web Services) #Documentation #Databases #Scala
Role description
Graph Developer 3-4 days on site Long Term Consulting Opportunity NYC, NY - Onsite interview Candidate must be local to be considered Responsibilities β€’ Design and development: Architect, design, and implement graph-based data models and solutions. β€’ Query optimization: Develop and optimize efficient graph queries using languages like Cypher, Gremlin, or SPARQL. β€’ Data integration: Build and maintain data pipelines to load, transform, and integrate data from various sources into the graph database. β€’ Performance and scalability: Ensure the graph database and related applications are scalable, performant, and secure. β€’ 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. β€’ Application development: Build applications or APIs that leverage the graph database for relationship analysis, recommendation engines, fraud detection, or other use cases. β€’ Mentorship: Provide guidance and mentor junior developers on graph best practices. β€’ Documentation: Create and maintain documentation for graph schemas, queries, and architectures. Required skills and experience β€’ Hands-on experience with graph databases (e.g., Neo4j, Amazon Neptune). β€’ Proficiency in graph query languages (e.g., Cypher, Gremlin, SPARQL). β€’ Strong programming skills in languages in Java and Python β€’ Heavy financial experience β€’ Familiarity with data modeling principles for connected data. β€’ Experience with ETL processes and data ingestion. β€’ Knowledge of cloud platforms like AWS is often a plus. β€’ Understanding of data structures and algorithms, particularly related to graph theory. β€’ Excellent communication and collaboration skills. β€’ Financial experience