Data Engineer Neo4j
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Job Location:
Dallas, IA - USA
Monthly Salary:
Not Disclosed
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Title: Data Engineer Neo4j)
Location: Dallas TX (Onsite/Hybrid)
Type: Contract
Type: Contract
About the Role
We are looking for experienced Data Engineers to work on next-generation AI-enabled data platforms and Knowledge Graph initiatives. This role focuses on building scalable data pipelines modeling enterprise data and integrating datasets into graph-based systems like Neo4j to support advanced analytics and GenAI use cases.
If you have strong hands-on experience in SQL ETL and data modeling and are interested in working on modern data architectures involving graph databases and AI workflows this role will be a strong fit.
Key Responsibilities
- Build and maintain scalable ETL/ELT pipelines for structured and unstructured data
- Develop data ingestion workflows into relational and graph databases (Neo4j or similar)
- Design and implement logical and physical data models for analytics and operational systems
- Develop data transformation pipelines for enterprise datasets (risk controls policy etc.)
- Ensure data security governance and access controls across pipelines
- Optimize SQL queries and overall data performance
- Support graph data modeling including relationship mapping and entity linkage
- Build monitoring logging and observability mechanisms for data pipelines
- Collaborate with AI/analytics teams to support GenAI and advanced analytics workflows
- Maintain documentation data lineage and operational runbooks
Required Skills
- 6 years of experience in Data Engineering
- Strong expertise in SQL
- Hands-on experience building ETL/ELT pipelines
- Solid experience in data modeling (dimensional star schema normalized models)
- Understanding of data security governance and access control
- Experience with Neo4j or any graph database
- Experience with Python Spark or modern data tools
- Strong troubleshooting and performance tuning skills
Preferred Skills
- Experience working with AI/ML data pipelines or GenAI workflows
- Domain experience in Banking Risk or Compliance
- Experience with orchestration tools like Airflow Control-M or Autosys
- Exposure to cloud platforms (AWS Azure or GCP)
