Job description

Job Title: Data Engineer (Healthcare AI Platform) Role Overview Join a growth-stage healthcare AI company focused on improving patient outcomes through predictive analytics and advanced data infrastructure. This organization is building an AI-driven clinical monitoring platform that leverages contactless sensing, machine learning, and real-time data pipelines to identify early indicators of clinical deterioration and reduce avoidable hospitalizations. In this highly impactful role, you will design and operate scalable data pipelines that power predictive models used by clinical teams across post-acute care environments. You will collaborate closely with ML engineers, backend engineers, and clinical stakeholders to ensure secure, compliant, and reliable healthcare data flows. Key Responsibilities: • Design, build, and maintain scalable data pipelines for ingesting healthcare data from EHR systems, hospital databases, and connected devices • Develop integrations using REST APIs, webhooks, and change data capture (CDC) mechanisms • Transform, validate, and normalize clinical data before loading into data warehouse environments • Build and optimize schemas to support real-time application needs and downstream analytics workloads • Deploy and manage data pipelines in cloud environments, ensuring reliability and scalability • Implement monitoring, logging, and alerting for production data workflows • Maintain security and compliance standards for sensitive healthcare data, including HIPAA requirements • Partner with ML teams to support model training, feature generation, and data labeling workflows • Collaborate with engineering and customer technical teams to support integrations and ongoing data reliability Education & Qualifications: • 5+ years of experience in Data Engineering, Backend Engineering, or related field • Strong proficiency in Python for data pipeline development • Advanced SQL skills with experience designing and optimizing relational schemas • Hands-on experience with MySQL, Snowflake, or similar data warehouse technologies • Experience building high-throughput data pipelines from ingestion through transformation and storage • Experience deploying production systems in AWS or similar cloud environments • Familiarity with APIs, webhooks, and event-driven architectures • Experience working with sensitive or regulated data environments Preferred Experience: • Familiarity with healthcare interoperability standards such as HL7 or FHIR • Experience supporting machine learning or data science teams • Experience with workflow orchestration or streaming data platforms • Background in healthcare, clinical data systems, or medical device environments • Exposure to HIPAA compliance and healthcare security best practices Why Us: • Opportunity to build foundational data infrastructure powering real-world healthcare AI applications • Highly collaborative environment across engineering, clinical, and ML teams • Work directly impacts patient outcomes and care quality • Exposure to advanced predictive analytics and agentic AI workflows • High ownership role with influence on platform architecture and scalability Benefits and Perks: • Base salary range of $150,000 – $220,000 plus equity • 100% employer-paid medical, dental, and vision coverage • 401(k) with employer match • Generous PTO policy • Commuter stipend • Collaborative in-person environment with strong engineering culture Applicants must be currently authorized to work in the United States on a full-time basis now and in the future. This position does not offer sponsorship. #LI-EC1

Requirements

Must-haves

Job Title: Data Engineer (Healthcare AI Platform)
Design, build, and maintain scalable data pipelines for ingesting healthcare data from EHR systems, hospital databases, and connected devices
Develop integrations using REST APIs, webhooks, and change data capture (CDC) mechanisms
Transform, validate, and normalize clinical data before loading into data warehouse environments
Build and optimize schemas to support real-time application needs and downstream analytics workloads
Deploy and manage data pipelines in cloud environments, ensuring reliability and scalability
Implement monitoring, logging, and alerting for production data workflows
Maintain security and compliance standards for sensitive healthcare data, including HIPAA requirements
Partner with ML teams to support model training, feature generation, and data labeling workflows
Collaborate with engineering and customer technical teams to support integrations and ongoing data reliability
5+ years of experience in Data Engineering, Backend Engineering, or related field
Strong proficiency in Python for data pipeline development
Advanced SQL skills with experience designing and optimizing relational schemas
Hands-on experience with MySQL, Snowflake, or similar data warehouse technologies
Experience building high-throughput data pipelines from ingestion through transformation and storage
Experience deploying production systems in AWS or similar cloud environments
Familiarity with APIs, webhooks, and event-driven architectures
Experience working with sensitive or regulated data environments
Opportunity to build foundational data infrastructure powering real-world healthcare AI applications

Nice-to-haves

Familiarity with healthcare interoperability standards such as HL7 or FHIR
Experience supporting machine learning or data science teams
Experience with workflow orchestration or streaming data platforms
Background in healthcare, clinical data systems, or medical device environments
Exposure to HIPAA compliance and healthcare security best practices

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Keywords to mirror

aimachine learningmlrestpythonsqlaws

Platform: careers-page
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto