Actualize - Data Ingestion & Interoperability Engineer - Healthcare EcoSystem

Actualize

Bengaluru

On-site

INR 3,500,000 - 7,000,000

Full time

14 days+

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Job summary

Actualize in Bengaluru, India, seeks a Healthcare Data Ingestion & Interoperability Engineer to lead architecture, design, and execution of real-time clinical data pipelines linking EHRs (Epic, Cerner), HIEs, and PGHD to cloud and on-prem analytics.

You will build parsing, modeling, routing of complex medical messages, implement SMART on FHIR, and enforce HIPAA/PHI controls at the API layer.

Qualifications

  • 7+ years of experience in healthcare data integration and interoperability.
  • Hands-on with FHIR, HL7, HIPAA compliance.
  • Experience with cloud/on-prem data architectures.

Responsibilities

  • Architect and maintain real-time HL7 v2 and FHIR ingestion pipelines.
  • Establish secure server-to-server EHR integrations using OAuth 2.0.
  • Implement data quality, validation, and transformation rules.

Skills

HL7 v2
FHIR
OAuth 2.0
SMART on FHIR
HIPAA/PHI
EHR integration
Striim
Mirth Connect
Redox
Cloud & On-Prem

Tools

Epic App Orchard
Epic on FHIR
Cerner Ignite
Azure Health Data Services
Health Lake

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
  • 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).
Pillar 2 : FHIR Architecture, Security & Authentication
  • 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.
Pillar 3 : External Networks & Distributed Systems
  • 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.
Key Responsibilities
  • 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.

Confidential - Internal Talent Acquisition & Sourcing Specification Document

(ref:hirist.tech)

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