AWS Neo4j Engineer

EXL; New York (NY); On-site; USD 140,000 - 155,000; Full time

Job summary

EXL in New York seeks a Subject Matter Expert in Neo4j and AWS to lead a critical graph database migration. You will design architecture and act as hands-on guide, ensuring workloads are migrated, tested, and adopted.

You will bridge engineering and business, run live demos, onboard teams, write UAT scripts, and guide users through go-live, including performance tuning and data integrity.

Qualifications

• 8+ years of data engineering experience with at least 4+ years in graph databases.
• Proficiency in Cypher or Gremlin and a solid graph theory foundation.
• Experience migrating workloads to Neo4j on AWS and supporting UAT.

Responsibilities

• Migration & Architecture: design and execute secure migration strategies to Neo4j on AWS.
• Testing & Optimization: lead performance tuning and load testing of Cypher queries.
• Demos & POC: build graph demos to show business value to stakeholders.
• Onboarding & Handholding: provide close technical support during initial launch.
• UAT & Go-Live: define criteria, write test scripts, validate data integrity, and guide users through go-live.

Skills

Neo4j

AWS

Data Integration

Testing Tools

Cypher/Gremlin

Tools

Cypher

Gremlin

Job description

We are seeking a Subject Matter Expert (SME) in Neo4j and Amazon Web Services (AWS) to lead our critical graph database migration journey. In this role, you will not just design the architecture, you will be the hands-on guide who ensures our business workloads are successfully migrated, rigorously tested, and seamlessly adopted. You will act as the bridge between technical engineering and business stakeholders, leading live demos, onboarding engineering teams, and guiding users through successful User Acceptance Testing (UAT).

Key Responsibilities

• Migration & Architecture: Design and execute secure migration strategies to move on-premise or relational data workloads to Neo4j on AWS (AuraDB, EC2, or EKS).

• Testing & Optimization: Lead performance tuning, index optimization, and load testing of Cypher queries to ensure high availability and low latency.

• Demos & Proof of Concepts (POC): Build and showcase powerful graph database demos to stakeholders to highlight business value and insights.

• Onboarding & Handholding: Provide close, side-by-side technical support to developers, data analysts, and product teams during the initial launch phase.

• UAT & Go-Live: Define UAT criteria, write test scripts, validate data integrity, and hand-hold business users through final validation for a smooth production rollout.

Required Technical Skills

• Neo4j Expertise: Deep knowledge of graph modeling, Cypher query language, APOC libraries, and Neo4j administration tools.

• AWS Cloud Mastery: Hands-on experience with AWS infrastructure (EC2, EKS, VPC, IAM, S3) and secure networking for database deployments.

• Data Integration: Proven experience using data pipeline and ETL tools (like Spark, AWS DMS, or Data Sync) to ingest data into graph databases.

• Testing Tools: Familiarity with database benchmarking and load-testing tools to simulate production workloads.

• 8+ years of experience working with data engineering with at least 4+ years of experience working on graph databases.

• Proficiency in query languages like Cypher or Gremlin and a solid foundation in graph theory are crucial for success in this position.

• Outstanding written and verbal communication skills.

• Superior analytical and problem-solving skills.

• Experience in working in dual shore engagement is preferred.

Base Compensation Range: $140,000- $155,000

The posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.

EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL's Human Resources team, as well as our hiring managers.