{"schemaVersion":"jobsearcher.job.v1","id":"5c3a6f93e327dfd3dde8f36a","url":"https://jobsearcher.com/jobs/5c3a6f93e327dfd3dde8f36a","canonicalUrl":"https://jobsearcher.com/jobs/5c3a6f93e327dfd3dde8f36a","title":"GCP Data Engineer with HL7","description":"Job Title: GCP Data Engineer with HL7, HIN Transaction\n\nLocation: Nashville, TN Hybrid Role - (3 Days Onsite)\n\nDuration: 12+ Months\n\nJob Description:\n\nAs a Consulting Data Engineer, you will architect, build, and optimize the next generation of our real-time healthcare data platforms and event-driven architectures. You will play a foundational role in moving our clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines.\n\nIn this role, you will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. You will bridge the gap between complex electronic health records (EHR) and data consumer-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency.\n\nCore Responsibilities\n\nArchitect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages).\nScale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC).\nEnforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit.\nEnable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries.\nPromote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows.\nOptimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting.\nCollaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers.\n\nRequired Qualifications\n\nExperience & Education\n\n13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles.\n4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech).\nGoogle Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP).\n\nTrue Streaming Focus\n\nAdvanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing.\nStream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations.\n\nHealthcare-Specific Tech Stack\n\nInteroperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams.\nGCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores).\nEHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech).\n\nCloud Ecosystem & Modern Tooling\n\nGoogle Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow).\nProgramming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam).\nModern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake).\nDevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform.","company":"Eapps Tech Dba Magicforce","rawCompany":"eapps tech dba magicforce","city":"Franklin","state":"TN","isRemote":false,"isActive":false,"createdAt":"2026-10-21T11:51:26.397Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"GCP Data Engineer with HL7","description":"Job Title: GCP Data Engineer with HL7, HIN Transaction\n\nLocation: Nashville, TN Hybrid Role - (3 Days Onsite)\n\nDuration: 12+ Months\n\nJob Description:\n\nAs a Consulting Data Engineer, you will architect, build, and optimize the next generation of our real-time healthcare data platforms and event-driven architectures. You will play a foundational role in moving our clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines.\n\nIn this role, you will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. You will bridge the gap between complex electronic health records (EHR) and data consumer-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency.\n\nCore Responsibilities\n\nArchitect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages).\nScale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC).\nEnforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit.\nEnable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries.\nPromote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows.\nOptimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting.\nCollaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers.\n\nRequired Qualifications\n\nExperience & Education\n\n13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles.\n4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech).\nGoogle Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP).\n\nTrue Streaming Focus\n\nAdvanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing.\nStream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations.\n\nHealthcare-Specific Tech Stack\n\nInteroperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams.\nGCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores).\nEHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech).\n\nCloud Ecosystem & Modern Tooling\n\nGoogle Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow).\nProgramming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam).\nModern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake).\nDevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform.","datePosted":"2026-10-21T11:51:26.397Z","dateModified":"2026-10-21T11:51:26.397Z","hiringOrganization":{"@type":"Organization","name":"Eapps Tech Dba Magicforce","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Franklin","addressRegion":"TN","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5c3a6f93e327dfd3dde8f36a"},"url":"https://jobsearcher.com/jobs/5c3a6f93e327dfd3dde8f36a"}}