Graph Database Engineer

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 for career development, excellent benefits, and employee-focused programs, including comprehensive healthcare, tuition reimbursement, wellness initiatives, retirement savings plans, and more.

Vaco values a diverse workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.

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Determining compensation for this role (and others) at Vaco depends upon a wide array of factors including but not limited to :

With that said, as required by local law, Vaco believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.