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Infographic showing various Engineers job openings at Enterprise Engineering in the United States as of June 2026, with employment types broken down into 43% Full Time, 14% Part Time, and 43% Contract. Highlights an 86% Physical, and 14% Remote job distribution.
Graph Data Engineer

Graph Data Engineer

Enterprise Engineering Inc. (EEI)

Manhattan, NY • On-site

$126K - $151K/yr

Full-time

Posted 20 days ago

Job description

Job Summary:
Enterprise Engineering Inc. (EEI) is seeking a Graph Data Engineer to develop and enhance their knowledge graph for various applications. The role involves collaboration with software engineers, data scientists, and product managers to build business cases using graph technologies and manage data ingestion and quality checks.
Responsibilities:
• Design and develop graph data solutions leveraging cutting-edge graph technologies.
• Implement graph algorithms to model, query, and analyze complex relationships in large datasets.
• Design and manage graph schemas and ontologies to support dynamic and interconnected data systems.
• Develop and maintain ETL pipelines for ingesting data into the knowledge graph and enriching data correspondingly to serve business requirements.
• Design and develop data quality checks to assure data validity and integrity.
• Solid experience building data engineering applications within AWS.
• Ability to work in an Agile environment.
• Collaborate with full-dev life-cycle team including but not limited to Data Engineering, Data Scientists, Automating Engineers, Infrastructure Engineers, Quality Engineers and Front-end Engineers.
Qualifications:
Required:
• Bachelor's degree or higher in Computer Science or similar academic discipline
• 4+ years of professional software development experience
• Excellent problem solving and critical thinking skills
• Strong understanding of algorithms and data structures and knowing when to apply them
• Proficiency in Java SpringBoot. Python and Scala is a plus
• Experience building APIs and microservices
• Familiarity with ETL and relevant data quality checks
• Experience working with cloud environment setup (AWS, Azure, GCP)
• Ability to understand and learn graph technologies or working with a graph environment.
Preferred:
• Experience with graph technologies, e.g. RDF, RDFs, SPARQL, SHACL, Cypher, etc. Triple Stores (Neptune, Allegrograph, GraphDB, etc.), Property Graph Stores (Neo4J, TigerGraph, etc.) will be a strong plus.
• Experience in building ontologies, knowledge graphs, or semantic systems for domain-specific applications.
• Familiarity with Graph and Machine Learning algorithms (PageRank, Connected Components, Cosine Similarity, Pandas, Numpy, Scikit learn)
• Familiarity with full stack development lifecycle including Integration and UI development. Experience with Spark and Databricks.
Company:
Founded in 1995, Enterprise Engineering, Inc. Founded in 1995, the company is headquartered in New York, USA, with a team of 51-200 employees. The company is currently Growth Stage.
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About Enterprise Engineering

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Our team is composed of architects and application experts skilled in Open Banking and Digital Transformation. Financial Data is in our DNA, and for years we have been helping our clients design, develop and deploy modern, innovative solutions bringing the greatest value to our clients and their business. If you have a constant thirst for emerging technology and a passion for pushing the needle towards excellence, you might be just like us. Life at EEI At EEI, our cultural pillars have been and continue to be a collaborative work environment that cultivates teamwork, mentoring, knowledge sharing, individual and team development. We are a humble bunch that cares for the personal and professional wellbeing of our clients and coworkers and support a healthy work life balance. Do you share our values?

Industry

It services

Company size

51 - 200 Employees

Headquarters location

NY, US

Year founded

1995

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