Data Engineer

Data Engineer (Graph Data Systems/Neo4j/Python/Entity Resolution) · Senior · Remote · LATAM We are partnering with a fast-growing healthtech startup that is building AI-native infrastructure for next-generation personalized and preventative healthcare .They are developing an all-in-one clinical data platform designed for a new era of medicine where fragmented, longitudinal, and multi-modal health data becomes real-time, actionable insights for clinicians and care teams. This platform unifies records, labs, wearables, diagnostics, genomics, and lifestyle inputs into a single, coherent patient model. Early customers include leading functional, integrative, longevity, and concierge medicine clinics, helping shape the product from day one. The mission: turn complex health data into clarity and action , laying the foundation for predictive personal health models, adaptive clinical intelligence, and digital health twins. Senior Data Engineer (Graph-Based Data Systems) This role is ideal for an engineer who has strong experience with graph databases and thrives in building complex, scalable data systems from the ground up. You will design the core graph architecture, data lineage systems, fuzzy matching engines, and ingestion frameworks that power the future of healthcare intelligence. Core Responsibilities Graph Data Architecture Design and implement the company’s core graph database architecture (likely Neo4j). Create advanced graph models representing patients, biomarkers, protocols, events, and relationships across multi-modal data. Enable high-context queries such as "find patients with similar longitudinal patterns." Data Normalization & Entity Resolution Build the entire normalization and deduplication engine. Implement fuzzy matching & entity resolution for unifying messy, multi-source health data. Establish rules, heuristics, confidence scores, and automated unification pipelines. Metadata, Lineage & Provenance Design a transparent lineage layer where every data point tracks: source timestamp reliability transformation path confidence scoring Ensure full traceability from ingestion storage computation. Time-Series & Longitudinal Data Systems Architect storage optimized for high-frequency time-series signals (CGM, wearables, diagnostics). Support long-term longitudinal analysis across patient lifecycles. API Layer & Query Engine Build APIs enabling complex graph queries and multi-relationship traversal. Support both real-time and analytical access patterns. Multi-Source Health Data Ingestion Design ingestion for: clinical records (EHRs) labs wearables lifestyle/behavioral inputs continuous monitoring devices advanced diagnostics and genomics Unify this data into a structured, high-quality canonical model. Required Skills Must-Haves Deep, hands-on experience with graph databases (Neo4j or similar). Strong graph-based and relational data modeling. Experience with fuzzy matching & entity resolution algorithms. Experience in metadata, lineage, and provenance systems. Time-series data architecture and longitudinal data design. API design for complex, multi-hop queries. Strong Python + SQL . Solid system design , especially around scalability and performance. Nice-to-Haves Knowledge graphs or semantic data modeling. Built full data platforms end to end. Experience normalizing messy, multi-source data. Kafka, Pub/Sub, or other streaming frameworks. Exposure to healthcare data: FHIR, HL7. Experience with ML-driven feature extraction or enrichment. What You Can Expect 100% remote Full contractor engagement High-impact role with ownership from day one Work alongside a world-class founding team in healthtech and AI Build foundational infrastructure for the next decade of healthcare Fast-moving, product-driven environment Ideal Candidate Thrives in early-stage, high-ownership environments. Loves building complex systems from scratch. Enjoys deeply technical challenges with real-world impact. Believes in the power of data to transform healthcare. What Darwoft Offers Contractor agreement with payment in USD 100% remote work Argentina public holidays English classes Referral program Access to learning platforms Explore this and other opportunities at: #J-18808-Ljbffr