Sr. Data Engineer

Overview

Xenteris advancing a new generation of medical technologies—from diagnostic tools that help identify conditions earlier to procedural innovations designed to support more cost-effective treatment options across a broad patient population. By improving how conditions are identified and how procedures are performed, Xenteris provides clinicians with real-time insight to support more precise and consistent decision-making. These products are designed with a strong focus on data, validation, and continuous improvement.

Building on this foundation, Xenteris is developing a connected clinical intelligence platform that captures and organizes data across procedures and care settings. This platform enables health systems to expand access to advanced diagnostic tools while helping address barriers to care. Over time, this approach is designed to support more efficient care delivery and lower the total cost of care—creating value for providers, health systems, and patients.

At Xenteris, you ll join an entrepreneurial team where innovation moves quickly, ideas become reality, and every employee has the opportunity to help shape technologies with the potential to change healthcare worldwide. You ll work alongside industry leaders, influence the direction of a rapidly growing company, and help bring breakthrough technologies from concept to commercialization.

• Design, build, and maintain ingest pipelines that move data from GURU and Xenter Diagnostics devices into the cloud data layer, using Temporal durable workflows and a NATS Jet Stream event spine.
• Model clinical and device data as a FHIR R4-aligned property graph — designing node types, edges, resolution keys, and content-addressed, versioned class schemas that downstream tools and models depend on.
• Extend and maintain the medical ontology (RDF/OWL in Apache Jena/Fuseki — SNOMED CT, RxNorm, LOINC, clinical guidelines) and the cross-graph joins that let a reasoner answer clinical questions (e.g., contraindication and subsumption queries) over patient data.
• Write and optimize SQL (Postgres 16 / Timescale DB) and SPARQL, and author Python for data transformation, validation, and pipeline logic.
• Build monitoring and data-quality checks — declared in signed ingest contracts and instrumented with structured logging, Open Telemetry, and Prometheus — to catch issues before they reach downstream consumers.
• Handle high-frequency time-series and device-waveform telemetry (Timescale DB hypertables, EMQX/MQTT) with the same rigor as structured clinical records.
• Coordinate with software engineering on schema design for new data sources, and provide data-science, analytics, and ML/AI-agent stakeholders with well-documented, trustworthy, query-ready datasets and graph surfaces.
• Uphold the platform s PHI protection boundary — tokenized fields, purpose-of-use authorization (SpiceDB), and the external PHI Vault — so plaintext PHI never persists in data stores.
• Support the evolution of the data infrastructure as data volume grows with company scaling and expanding device fleets.

• 5+ years building data pipelines in a production environment.
• Strong SQL skills and strong Python for data engineering.
• Hands-on experience with graph data and/or semantic/ontology technologies — property graphs, RDF/OWL, knowledge graphs, SPARQL, or graph query languages — and a real interest in modeling data as interconnected entities rather than flat tables.
• Solid data-modeling ability, including entity/relationship modeling and schema design (dimensional and normalized modeling understood as background, not the primary paradigm here).
• Experience delivering on a cloud platform (Azure preferred) and with containerized / Kubernetes-based services.
• Working knowledge of healthcare data standards — HL7 / FHIR.
• Comfort operating in regulated, HIPAA-governed data environments.
• Experience with version control (Git) and collaborative engineering workflows.

• Experience with ontologies and reasoners — OWL, description logics, subsumption / inference, or clinical terminologies (SNOMED CT, RxNorm, LOINC).
• Familiarity with LLM / agentic platforms —…