What are the responsibilities and job description for the Graph Database Engineer position at Virtual?
Vaco is partnering with an enterprise client to support a data modernization effort that will leverage graph-based data solutions to enhance customer experiences. They are building a personalization engine to improve customer recommendations and decision-making through graph analysis. To support this effort, they need a Data Engineer to design, optimize, and scale graph database solutions that integrate with enterprise systems.
Responsibilities :
Develop and maintain graph database models, ensuring scalability and efficiency.
Optimize graph queries and structures to support real-time personalization and recommendation systems.
Design and implement Cypher queries for complex data relationships and business use cases.
Work closely with data scientists, analysts, and engineers to integrate graph-based insights into operational applications.
Enhance personalization algorithms, leveraging graph structures to improve data-driven decision-making.
Qualifications :
5 years of experience as a data engineer or backend software engineer
Hands on experience with graph databases (e.g., TigerGraph, ArangoDB, Amazon Neptune, etc.)
Strong understanding of graph theory, data modeling, and relationship-based architectures.
Experience with query optimization and performance tuning for large graph datasets.
Proficiency in Python, JavaScript, or JVM languages (Scala, Kotlin, Clojure, Java) commonly used in modern data engineering.
Experience integrating graph databases into enterprise systems or cloud-based data environments.
Understanding of data pipelines, ETL processes, and streaming architectures.
Preferred Experience :
Background in personalization engines, recommendation systems, or knowledge graphs.
Experience with Kafka, Spark, REST APIs, or other real-time data processing tools.
Knowledge of data visualization tools for graph analytics (e.g., Neo4j Bloom, GraphX, or Gephi).
Certification in Neo4j or similar graph DB technologies
Why Join?
Work on a high-impact data initiative, building a personalization engine to enhance the customer experience of millions
Be part of a highly collaborative team of data engineers and scientists looking to solve a tangible, real-world problem at scale
Join a stable, well-established employer known forcareer development, excellent benefits, and employee-focused programs, including comprehensive healthcare, tuition reimbursement, wellness initiatives, retirement savings plans, and more.
Keep a pulse on the job market with advanced job matching technology.
If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution.
Compensation Planning
Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right.
Surveys & Data Sets
What is the career path for a Graph Database Engineer?
Sign up to receive alerts about other jobs on the Graph Database Engineer career path by checking the boxes next to the positions that interest you.
