Actualize - Data Ingestion & Interoperability Engineer - Healthcare EcoSystem
Actualize - Data Ingestion & Interoperability Engineer - Healthcare EcoSystem
actualizE- Posted a month ago
- Be among the first 10 applicants
Job Description
Healthcare Data Ingestion & Interoperability Engineer
Position Specification & Core Competency Framework
Target Location : Bengaluru, India Department : Engineering & Data Architecture
Experience Level : 7+ Years (4+ Yrs US Healthcare Domain)
Employment Type : Full-Time / Leadership Track
Role Overview
We are seeking a Healthcare Data Ingestion & Interoperability Engineer to lead the architecture, design, and execution of real-time clinical data ingestion pipelines. In this position, you will build and maintain mission-critical data pathways connecting Electronic Health Record (EHR) systems (e.g., Epic, Cerner), Health Information Exchanges (HIEs), and Patient-Generated Health Data (PGHD) platforms directly into cloud and on-premise analytics engines.
The ideal candidate possesses deep hands-on expertise in parsing, modeling, and routing complex clinical message streams, implementing SMART on FHIR protocols, and enforcing strict HIPAA/PHI compliance controls at the API layer.
Core Technical Skills & Tooling Stack
Pillar 1 : Integration Engines & EHR Ecosystems :
(ref:hirist.tech)
Position Specification & Core Competency Framework
Target Location : Bengaluru, India Department : Engineering & Data Architecture
Experience Level : 7+ Years (4+ Yrs US Healthcare Domain)
Employment Type : Full-Time / Leadership Track
Role Overview
We are seeking a Healthcare Data Ingestion & Interoperability Engineer to lead the architecture, design, and execution of real-time clinical data ingestion pipelines. In this position, you will build and maintain mission-critical data pathways connecting Electronic Health Record (EHR) systems (e.g., Epic, Cerner), Health Information Exchanges (HIEs), and Patient-Generated Health Data (PGHD) platforms directly into cloud and on-premise analytics engines.
The ideal candidate possesses deep hands-on expertise in parsing, modeling, and routing complex clinical message streams, implementing SMART on FHIR protocols, and enforcing strict HIPAA/PHI compliance controls at the API layer.
Core Technical Skills & Tooling Stack
Pillar 1 : Integration Engines & EHR Ecosystems :
- Interface & Ingestion Engines : Enterprise-level mastery of Striim, Mirth Connect (NextGen Connect), and Redox for real-time message routing and transformation.
- Legacy & Modern Clinical Standards : Production-level parsing and processing of HL7 v2 (ORU, ORM, ADT), C-CDA / CDA clinical documents, and FHIR R4 resources.
- EHR API Platforms : Production deployment experience with Epic App Orchard / Epic on FHIR, Cerner Ignite, or equivalent US EHR vendor integration ecosystems (not limited to sandbox testing).
- FHIR Modeling & Infrastructure : Hands-on configuration of Azure Health Data Services (or AWS HealthLake / GCP Healthcare API), including FHIR resource modeling and complex RESTful query optimization.
- Authorization & Authentication Protocols : Expertise in SMART on FHIR authorization flows, specifically OAuth 2.0 and JWT client credential flows with asymmetric keys for secure, system-to-system automated EHR integration.
- HIPAA-Aware API Security : Deep understanding of Protected Health Information (PHI), implementing API-layer access controls, automated data minimization, and immutable audit logging.
- Patient-Generated Health Data (PGHD) : Ingestion engineering across wearable and health aggregator platforms including Terra API, Validic, Apple HealthKit, and Google Health Connect.
- HIE Interoperability Networks : Technical familiarity and data exchange participation with CommonWell Health Alliance, Carequality, and eHealth Exchange.
- Infrastructure & Query Optimization : Capability to operate under on-premise hardware and local network constraints using distributed query engines to execute performant queries across fragmented clinical datasets.
- Pipeline Development : Architect, test, and maintain robust batch and stream ingestion pipelines handling high-volume HL7 v2 and FHIR messages.
- System Integration : Establish secure, automated server-to-server connections with hospital EHRs and clinical networks using OAuth 2.0 asymmetric authentication.
- Data Quality & Validation : Implement schema evolution checks, automated error handling, deduplication, and real-time data transformation rules.
- Compliance & Privacy Guardrails : Ensure all data ingestion channels strictly comply with HIPAA, SOC 2, and data privacy frameworks with complete auditability.
- Performance Tuning : Resolve network bottlenecks and optimize distributed queries over complex on-premise and hybrid cloud environments.
(ref:hirist.tech)
More Info
Key Skills
Carequality
FHIR R4
GCP Healthcare API
Cerner Ignite
Striim
Redox
Apple HealthKit
Epic on FHIR
Terra API
CommonWell Health Alliance
NextGen Connect
HL7 v2
Azure Health Data Services
Mirth Connect
eHealth Exchange
OAuth 2.0
C-CDA
Validic
Epic App Orchard
Google Health Connect
SMART on FHIR
AWS HealthLake
