{"schemaVersion":"jobsearcher.job.v1","id":"cd0736fcf3220da6d210e7c7","url":"https://jobsearcher.com/jobs/cd0736fcf3220da6d210e7c7","canonicalUrl":"https://jobsearcher.com/jobs/cd0736fcf3220da6d210e7c7","title":"Data Engineer","description":"per yJob Title: Data Engineer (Healthcare AI Platform)Role OverviewJoin 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 ResponsibilitiesDesign, build, and maintain scalable data pipelines for ingesting healthcare data from EHR systems, hospital databases, and connected devicesDevelop integrations using REST APIs, webhooks, and change data capture (CDC) mechanismsTransform, validate, and normalize clinical data before loading into data warehouse environmentsBuild and optimize schemas to support real-time application needs and downstream analytics workloadsDeploy and manage data pipelines in cloud environments, ensuring reliability and scalabilityImplement monitoring, logging, and alerting for production data workflowsMaintain security and compliance standards for sensitive healthcare data, including HIPAA requirementsPartner with ML teams to support model training, feature generation, and data labeling workflowsCollaborate with engineering and customer technical teams to support integrations and ongoing data reliabilityEducation & Qualifications5+ years of experience in Data Engineering, Backend Engineering, or related fieldStrong proficiency in Python for data pipeline developmentAdvanced SQL skills with experience designing and optimizing relational schemasHands-on experience with MySQL, Snowflake, or similar data warehouse technologiesExperience building high-throughput data pipelines from ingestion through transformation and storageExperience deploying production systems in AWS or similar cloud environmentsFamiliarity with APIs, webhooks, and event-driven architecturesExperience working with sensitive or regulated data environmentsAbility to work minimum of 3 days per week onsite Preferred ExperienceFamiliarity with healthcare interoperability standards such as HL7 or FHIRExperience supporting machine learning or data science teamsExperience with workflow orchestration or streaming data platformsBackground in healthcare, clinical data systems, or medical device environmentsExposure to HIPAA compliance and healthcare security best practicesWhy Our ClientOpportunity to build foundational data infrastructure powering real-world healthcare AI applicationsHighly collaborative environment across engineering, clinical, and ML teamsWork directly impacts patient outcomes and care qualityExposure to advanced predictive analytics and agentic AI workflowsHigh ownership role with influence on platform architecture and scalabilityCompensation, Benefits & PerksSalary Range: $150,000 - $220,000 per yearEquity Participation100% employer-paid medical, dental, and vision coverage401(k) with employer matchGenerous PTO policyCommuter stipendCollaborative in-person environment with strong engineering cultureApplicants 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.","company":"Hireclout","rawCompany":"hireclout","city":"El Segundo","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-18T10:09:06.037Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"per yJob Title: Data Engineer (Healthcare AI Platform)Role OverviewJoin 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 ResponsibilitiesDesign, build, and maintain scalable data pipelines for ingesting healthcare data from EHR systems, hospital databases, and connected devicesDevelop integrations using REST APIs, webhooks, and change data capture (CDC) mechanismsTransform, validate, and normalize clinical data before loading into data warehouse environmentsBuild and optimize schemas to support real-time application needs and downstream analytics workloadsDeploy and manage data pipelines in cloud environments, ensuring reliability and scalabilityImplement monitoring, logging, and alerting for production data workflowsMaintain security and compliance standards for sensitive healthcare data, including HIPAA requirementsPartner with ML teams to support model training, feature generation, and data labeling workflowsCollaborate with engineering and customer technical teams to support integrations and ongoing data reliabilityEducation & Qualifications5+ years of experience in Data Engineering, Backend Engineering, or related fieldStrong proficiency in Python for data pipeline developmentAdvanced SQL skills with experience designing and optimizing relational schemasHands-on experience with MySQL, Snowflake, or similar data warehouse technologiesExperience building high-throughput data pipelines from ingestion through transformation and storageExperience deploying production systems in AWS or similar cloud environmentsFamiliarity with APIs, webhooks, and event-driven architecturesExperience working with sensitive or regulated data environmentsAbility to work minimum of 3 days per week onsite Preferred ExperienceFamiliarity with healthcare interoperability standards such as HL7 or FHIRExperience supporting machine learning or data science teamsExperience with workflow orchestration or streaming data platformsBackground in healthcare, clinical data systems, or medical device environmentsExposure to HIPAA compliance and healthcare security best practicesWhy Our ClientOpportunity to build foundational data infrastructure powering real-world healthcare AI applicationsHighly collaborative environment across engineering, clinical, and ML teamsWork directly impacts patient outcomes and care qualityExposure to advanced predictive analytics and agentic AI workflowsHigh ownership role with influence on platform architecture and scalabilityCompensation, Benefits & PerksSalary Range: $150,000 - $220,000 per yearEquity Participation100% employer-paid medical, dental, and vision coverage401(k) with employer matchGenerous PTO policyCommuter stipendCollaborative in-person environment with strong engineering cultureApplicants 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.","datePosted":"2026-06-18T10:09:06.037Z","dateModified":"2026-06-18T10:09:06.037Z","hiringOrganization":{"@type":"Organization","name":"Hireclout","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"El Segundo","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cd0736fcf3220da6d210e7c7"},"url":"https://jobsearcher.com/jobs/cd0736fcf3220da6d210e7c7"}}