We are on a mission to prevent avoidable hospitalizations and transform senior care operations. Our technology touches 40,000+ post acute patients daily across skilled nursing, home health and home care networks. You will play a critical role in building and maintaining the data infrastructure that powers our AI-driven clinical monitoring platform. You will design and operate robust data pipelines that ingest, transform, and distribute sensitive healthcare data originating from Electronic Health Record (EHR) systems, medical devices, and hospital information systems. Reporting directly to the Lead AI Engineer, you will work closely with backend engineers, ML engineers, clinical teams, and customer integration partners to ensure reliable, secure, and compliant flow of patient data including ADT events, conditions, medications, allergies, clinical notes, and vital signs. Your work will directly enable predictive analytics and machine learning models that identify early signs of clinical deterioration, helping clinicians intervene sooner and improve patient outcomes. This is a hands-on role where production-grade data engineering, reliability, and healthcare compliance are non-negotiable.
What You'll Do: -Design, build, and maintain scalable data pipelines to ingest healthcare data from customer EHR systems and hospital databases. -Develop integrations using: REST APIs and webhook-driven workflows Database log shipping and change data capture (CDC) mechanisms, including Microsoft SQL Server based systems Transform, validate, and normalize incoming clinical data before loading it into MySQL and Snowflake environments. -Ensure pipelines are robust, fault-tolerant, and capable of handling large data volumes. -Healthcare Data & EHR Integrations Integrate and manage healthcare data domains including: Admissions, Discharges, Transfers (ADT) Conditions, medications, allergies Clinical notes and progress notes Vital signs and physiological measurements -Work with healthcare interoperability standards and protocols such as: HL7 v2 FHIR Partner with customer technical teams to support onboarding, troubleshooting, and ongoing data reliability. -Take ownership of operational databases and analytical data warehouses. Design schemas and transformations that support both real-time application needs and downstream analytics and ML workloads. -Optimize performance, cost, and scalability within Snowflake and MySQL. -Cloud Deployment & Operations Deploy and operate data pipelines and services in AWS. -Implement monitoring, logging, alerting, and operational dashboards for data workflows. -Support production reliability, incident response, and continuous improvement of data systems. -Security, Compliance & Data Quality Ensure all data pipelines meet healthcare security and privacy requirements, including HIPAA and SoC 2. Apply best practices for handling Protected Health Information (PHI), including access control, encryption, and audit logging. -Maintain clear documentation of data flows, transformations, and operational processes. -Work closely with Data Science and ML teams to support: Model training and evaluation. Feature generation and data labeling workflows. Collaborate with backend engineers to develop internal tooling for data ingestion, validation, and monitoring.
What you need: -5+ yrs of experience in Data Engineering, Backend Engineering-Strong proficiency in Python for data pipeline and backend development. -Strong proficiency in SQL. -Hands-on experience with MySQL and Snowflake, including schema design and performance optimization. -Experience integrating data from Microsoft SQL Server, including log shipping or CDC-style approaches. -Experience building high-throughput data pipelines from ingestion through transformation and storage. -Experience deploying and operating production systems in a major cloud provider (AWS preferred). -Familiarity with APIs, webhooks, and event-driven architectures. -Experience working with sensitive or regulated data.-Hybrid Onsite in El Segundo, CA-BSCS or related Degree
Benefits
-100% companypaid medical, dental, vision
-401(k) with match
-Generous PTO
-Commuter stipend
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Nitu Gulati-Pauly - VP of Client Development
For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This is a new role.
CyberCoders will consider for Employment in the City of Los Angeles qualified Applicants with Criminal Histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring (Ban the Box) Ordinance.
This job was first posted by CyberCoders on 04/06/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.
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