Senior Data Engineer

Role Overview We are seeking a Data Platform Engineer to Configure MCP servers, AI services, APIs, and enterprise integrations. Alongside design, build, and maintain data ingestion and harmonization pipelines that support a knowledge graph–centric platform. This role focuses on reliable data movement, transformation, normalization, and quality to ensure consistent, high-quality inputs for downstream knowledge graph, search, and AI workflows. "" Hands-on experience as a Neo4j / Knowledge Graph SME with expertise in ontology modeling, graph data modeling, nodes, relationships, Cypher queries, and enterprise Knowledge Graph implementations."" Key Responsibilities • Configure MCP servers, AI services, APIs, and enterprise integrations. • Design and implement batch and near-real-time data ingestion pipelines • Ingest data from databases, files, APIs, and external systems • Transform, normalize, and harmonize data across multiple sources • Apply data mapping, standardization, and enrichment logic • Implement data validation, quality checks, and error handling • Monitor pipeline health, data freshness, and reliability • Collaborate with knowledge graph, integration, and platform teams to align data structures Required Qualifications • 15+ years of experience in data engineering or data platform roles • Configure MCP servers, AI services, APIs, and enterprise integrations. • Develop backend services, data pipelines, automation scripts, and integration workflows. • Support deployment, testing, troubleshooting, and platform engineering activities. • Work with the Knowledge Graph Lead to support prioritized use case requirements. • Strong proficiency in Python, SQL, or similar languages • Experience building and maintaining production ETL or ELT pipelines • Experience working with structured and unstructured data • Familiarity with APIs and data integration patterns Preferred Background • Experience in research-driven, biotech, pharma, life sciences, healthcare, or complex data environments • Exposure to data harmonization, entity alignment, or metadata management • Familiarity with cloud-based data platforms and storage