Data Engineer Neo4j, Spark & SQL

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Role: Data Engineer Neo4j, Spark & SQL

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

Client: CTS / Wells Fargo

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.

Key Responsibilities

• 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)

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

Mandatory Skills

• 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

Preferred Skills

• Experience with cloud platforms (AWS, Azure, or Google Cloud Platform)
• Knowledge of data security and governance frameworks
• Familiarity with big data ecosystems (Hadoop, Kafka, etc.)
• Experience with Python or Scala programming
• Exposure to knowledge graph implementations

Soft Skills

• Strong problem-solving and analytical mindset
• Good communication and collaboration skills
• Ability to work in hybrid and fast-paced environments