Data Engineer - Neo4j - Hybrid

Job Title: Data Engineer Neo4j)

Location: Dallas, TX (Onsite/Hybrid) 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 Google Cloud Platform)