Principal Data Engineer - Neo4J

About the role

The Principal Data Engineer will develop and maintain graph data solutions, focusing on Neo4j, to enhance business insights and decision-making processes.

Responsibilities

• Serve as a key contributor in designing and delivering graph data solutions, translating business needs into connected data models and graph architectures
• Engineer and maintain Neo4j, alongside relational and non-relational systems to support hybrid data environments
• Develop and operationalize relationship-based data models, including nodes, edges, and properties aligned to enterprise business domains
• Design and implement knowledge graphs and connected data platforms that unify disparate data sources and expose relationships across systems
• Build and optimize graph ingestion pipelines for batch and streaming data sources, ensuring data freshness and integrity
• Develop mechanisms and architectures that support business line specific use cases
• Establish standards and best practices for graph modeling, schema evolution, and governance within the enterprise data ecosystem
• Review and manage interfaces supporting graph data access including APIs, visualization tools, and analytics platforms
• Partner with data science and analytics teams to enable graph-based feature engineering and machine learning integration

Requirements

• Deep expertise in Neo4j platform capabilities, including clustering, security, and enterprise deployment patterns
• Experience in graph data modeling and ontology design for complex enterprise datasets
• Knowledge of connected data architecture patterns, including knowledge graphs and data fabrics
• Experience integrating graph platforms with big data ecosystems (Spark, Kafka, etc.) and cloud-native services
• Strong understanding of query optimization, indexing, and graph performance tuning
• Experience with data ingestion frameworks supporting both batch and real-time pipelines
• Proficiency in Python

Qualifications

• 8+ years of experience in data engineering, including experience leading engineers and technical teams
• Proven experience implementing Neo4j in enterprise environments
• Familiarity with machine learning and AI techniques leveraging graph data
• Experience working in Agile environments and leading cross-functional delivery teams
• Experience with visualization and BI tools in conjunction with graph-derived insights

Skills

• Expertise in Neo4j platform capabilities
• Graph data modeling and ontology design
• Connected data architecture patterns
• Data ingestion frameworks
• Machine learning and AI techniques
• Agile methodologies
• Visualization and BI tools

Benefits

• Competitive pay
• Comprehensive medical, dental and vision coverage
• Roth IRA matching
• Pension plan
• Maternity/paternity leave
• Flexible work arrangements
• Education reimbursement
• Wellness programs

Pay

Commensurate with experience

Schedule

Nightly shift