Job description
Job Title: Database Engineer
Position Type: Full-Time, Remote
Working Hours: U.S. Business Hours (CST)
About the Role
Our client builds advanced data intelligence systems that map complex ownership, legal, and property relationships using graph technology. Neo4j powers their knowledge graph and enables highly connected data to be represented with accuracy, speed, and traceability.
We are seeking a Neo4j Database Engineer who will own the graph data model, optimize Cypher queries, and build strong data ingestion pipelines. This role is mission-critical in defining how the system structures, connects, and analyzes data across people, properties, documents, transactions, and events.
Key Responsibilities
1. Graph Data Modeling & Architecture
- Design, refine, and maintain Neo4j data schemas
- Ensure entity relationships are consistent, normalized, and high-performing
- Implement schema updates aligned with business and technical needs
2. Ownership & Relationship Computation
- Implement logic to compute/update ownership changes over time
- Maintain transitions, transfers, and events through optimized structures
3. Cypher Query Design & Optimization
- Build, test, and optimize Cypher queries for traversal, lineage, and aggregations
- Develop Cypher scripts for migrations and large-scale operations
- Use PROFILE/EXPLAIN and best practices to improve performance
4. Integration & Data Ingestion
- Build reliable Python-based ingestion pipelines (neo4j-driver, py2neo)
- Integrate Neo4j with APIs, SQL databases, and analytical systems
- Collaborate with teams to onboard new data sources
5. Governance & Validation
- Implement validation rules, constraints, and QA checks
- Ensure auditability, version control, and schema compliance
Required Skills & Experience
1. Core Expertise
- 3+ years hands-on with Neo4j (modeling + querying)
- Strong SQL/NoSQL database design background
2. Querying
- Expert-level Cypher (path queries, pattern comprehension, aggregations)
3. Data Modeling
- Graph normalization, temporal modeling, event-sourced architectures
4. Programming
- Strong Python skills for ingestion, automation, and processing
5. Nice to Have
- Experience with Dockerized Neo4j, APOC, pipeline automation
What You’ll Do
- Serve as the primary graph architect
- Build scalable graph logic to compute complex real-world relationships
- Contribute to an AI-driven intelligence platform foundation
Key Performance Indicators (KPIs)
1. Query Optimization
- 20–30% reduction in Cypher execution time
- Effective profiling and refactoring of traversals and aggregations
2. Data Model Quality
- Zero critical integrity issues
- On-time schema updates within sprint cycles
- Efficient addition of new entity types
3. Pipeline Reliability
- 99% success rate for Python-based ingestion
- Minimal downtime or ingestion failures
- Clean integration with external sources
4. Overall Delivery
- Meeting milestones (ownership computation, migrations, validations)
- Strong sprint velocity and low bug rates
5. Data Governance
- Validation errors under 1%
- Full compliance with constraints and auditability
Interview Process
- Initial Phone Screen
- Technical Interview with Pavago Recruiter
- Practical Task (schema design or query optimization)
- Final Client Interview
- Offer & Background Verification
