Data Engineer (Neo4j, Spark & SQL

Data Engineer – Neo4j, Spark & SQL

Location:

Charlotte, NC / Dallas, TX (Hybrid Work Model)

Employment Type:

Contract

Experience

Required:

5+ Years (7+ Preferred)

Role Overview:
We are seeking a Data Engineer with strong expertise in Neo4j, SQL, and Spark-based ETL pipelines. The ideal candidate will be responsible for building scalable data pipelines, integrating graph and relational data, and enabling high-quality, secure data platforms.

• Data Pipeline Development
• Design, build, and maintain ETL/ELT pipelines using Spark (PySpark/Scala)
• Process large-scale datasets efficiently across distributed systems
• Optimize data ingestion, transformation, and loading workflows

• Graph & Relational Data Engineering
• Work with Neo4j graph databases for relationship-driven data models
• Develop and optimize SQL queries for structured data systems
• Integrate graph and relational datasets for unified analytics

• Data Modeling
• Design and implement logical and physical data models
• Support both:
  Relational models (SQL-based) and Graph-based models (Neo4j)
• Ensure scalability and performance of data structures

• Data Security & Governance
• Implement data security, access controls, and compliance standards
• Ensure data quality, integrity, and consistency
• Follow best practices for data governance and privacy

• Collaboration & Delivery
• Work with data scientists, analysts, and business teams
• Translate requirements into technical data solutions
• Participate in Agile development cycles and code reviews

• Strong hands-on experience in:
  Neo4j (Graph Database), SQL (Advanced Queries & Optimization), Spark (ETL – PySpark/Scala)
• Experience building data pipelines and ETL workflows
• Strong understanding of data modeling concepts

• Experience with cloud platforms (AWS, Azure, or GCP)
• Knowledge of data security and governance frameworks
• Familiarity with big data ecosystems (Hadoop, Kafka, etc)