Title: Graph DB Engineer Location: Dallas, TX, NYC, NY & Jersey City, NJ — (ONSITE) Job Type: W2 & Onsite Only Who are we looking for? We are seeking an experienced and passionate Graph Database Engineer with 6+ years of expertise in graph databases . As a key member of our team, you will contribute to cutting-edge projects, leveraging your proven experience in graph database design, development, and optimization. Your expertise will drive innovation and efficiency, ensuring seamless data management and retrieval. Collaborating closely with cross-functional teams, you’ll contribute to the success of our projects and elevate technical capabilities. Responsibilities: Skills – Must have: • Translate business requirements into technical solutions using graph databases. • Design and develop Graph database solutions on business requirements. • Create and optimize graph database models/schemas for querying and traversal. • Experience on RDF based graph databases. • Implement indexing and caching strategies for data retrieval. • Extensive work experience on knowledge graph implementation. • Ensure scalability, reliability, and performance of graph databases. • Fine-tune graph queries for optimal performance. • Monitor and troubleshoot graph database performance metrics. • Handle schema migrations and version upgrades. • Manage database security, access controls, and backups. • Collaborate with cross-functional teams to integrate graph databases into application ecosystem. • Work closely with data scientists, software developers, and product managers to align graph database solutions with overall project goals. • Guide junior developers on technical implementation. • Strong understanding of graph theory, traversal algorithms, and data structures. • Experience with data modeling, development and analytics implementation. • Familiarity with industry standards and best practices on Graph implementation • Proficiency in graph database technologies (e.g., rdf4j , OrientDB, Neo4j , Nebula, ArangoDB, GraphBase, Neptune, TigerGraph, etc.) Skills – Good to have: • AI/ML exposure. • Python programming • Analytics exposure EDUCATION QUALIFICATION: • Graduate in Engineering OR Masters in Computer Applications. Process Skills: • General SDLC processes • Understanding of Agile and Scrum software development methodologies • Skill in gathering and documenting user requirements and writing technical specifications. Behavioral Skills : • Good Attitude and Quick learner. • Well-developed design, analytical & problem-solving skills • Strong oral and written communication skills • Excellent team player, able to work with virtual teams. • Self-motivated and capable of working independently with minimal management supervision. Certification (Good to have): • Any Graph Certification