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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Neo4J Data Engineer - **Company:** Citizens Financial Group - **Location:** Johnston, RI, United States (Remote available) - **Experience:** Expert - **Salary:** $120,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Network Analysis, Cloud Engineering, Information Systems, Data Architecture, Data Discovery, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Data Systems, Digital Assets, Distributed Data Store, Distributed Systems, Fraud Prevention and Detection, Graph Database, Python (Programming Language), Machine Learning, Meta-Data Management, Neo4j, Software Engineering, SQL Databases, Data Streaming, Enterprise Data Management, Cloud Platform System, Real Time Systems, Azure Data Factory, Snowflake, Apache Spark, Event Driven Architecture, Information Technology, AWS Data Analytics, Apache Kafka, Non-relational Database, Data Management, Data Pipelines, Databricks - **Published:** September 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=1427448ee6e1800a ## About the Role * Strong experience building enterprise scale data pipelines and data platforms. * Expertise with modern data engineering technologies such as Spark, Databricks, Kafka, Snowflake, Azure Data Services, AWS Data Services, or similar platforms. * Strong proficiency in SQL and Python. * Experience with relational and non relational database technologies. * Experience with graph databases such as Neo4j is preferred. * Knowledge of data modeling, data governance, metadata management, and data quality practices. * Experience supporting both batch and streaming data architectures. * Familiarity with cloud native architectures and distributed systems. * Understanding of data integration patterns, APIs, and event driven architectures. * Experience supporting AI, machine learning, or advanced analytics workloads., * Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related field. * 5+ years of experience in data engineering, software engineering, or data platform development. * Experience developing and supporting enterprise data platforms in cloud environments. * Experience with graph technologies, Neo4j, knowledge graphs, or connected data architectures preferred. * Experience working in Agile environments and collaborating across cross functional teams. * Strong problem solving, communication, and stakeholder management skills. ## Description As a Senior Data Engineer, you will design, develop, and support scalable data solutions that enable critical business capabilities across Citizens. You will partner with architects, data engineers, analysts, and business stakeholders to build and maintain data pipelines, data models, and platform capabilities that help drive analytics, operational insights, AI initiatives, and business decision making. This role requires a strong foundation in modern data engineering practices across cloud platforms, distributed data systems, data integration, and data modeling. Experience with graph database technologies such as Neo4j is highly valued, particularly for connected data use cases involving relationship analysis, knowledge graphs, and advanced data discovery., * Design, build, and maintain scalable data pipelines supporting batch and real time processing workloads. * Develop and optimize data integration solutions across multiple enterprise data sources and platforms. * Design and implement data models supporting analytics, reporting, operational, and AI driven use cases. * Build and maintain data products that improve accessibility, quality, and usability of enterprise data. * Partner with business and technology stakeholders to translate requirements into scalable data solutions. * Contribute to modern cloud based data architecture and platform modernization initiatives. * Support graph data capabilities and connected data use cases utilizing technologies such as Neo4j where appropriate. * Develop APIs, services, and integration patterns that enable secure and efficient access to enterprise data. * Monitor and optimize data platform performance, reliability, availability, and scalability. * Establish and promote best practices for data engineering, data quality, testing, and operational support. * Collaborate with data science and analytics teams to support machine learning, AI, and advanced analytics initiatives., * Deliver scalable, reliable, and governed data solutions that support strategic business initiatives. * Improve access to trusted data for analytics, reporting, and operational decision making. * Enhance customer, risk, and operational insights through integrated and connected data solutions. * Enable AI and machine learning capabilities through high quality and well managed data assets. * Improve data quality, consistency, lineage, and discoverability across the enterprise. * Support fraud detection, network analysis, and relationship driven use cases through graph and connected data technologies. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)