Hi,
This is Jack from E-IT Professionals
I want to share a job opportunity that I have, Kindly find the job description and reply back with below details:
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Job Title: Data Engineer with FHIR and HL7
Location: Remote
Employment Type: Contract
Roles and Responsibilities: -
· We are seeking a highly experienced Senior Data Engineer to support the design and development of a large-scale Healthcare Analytics Data Lake that integrates clinical (HL7, FHIR, CCDA) and claims (EDI 837/835) data.
· The engineer will work onsite as the primary technical liaison, supporting end-to-end development, collaborating with offshore teams, and coordinating with client stakeholders for QA and deployment activities.
· This role requires strong hands-on engineering skills, deep healthcare data expertise, and proficiency with modern cloud-native data architectures, specifically on Oracle Cloud Infrastructure (OCI).
Key Responsibilities: -
· Data Pipeline Development Design and implement large-scale data ingestion, parsing, and transformation pipelines using Python, Spark, PySpark, and Spark SQL. Build and optimize metadata-driven pipelines for flexible ingestion and transformation.
· Process multi-format healthcare data including EDI 837/835, HL7 v2, CCDA, and FHIR bundles.
· Cloud-Native Engineering (OCI Preferred) Develop and operate data pipelines using OCI services: OCI Data Integration OCI Data Flow (Spark) OCI Delta Lake OCI Autonomous Database OIC Integration Engine for parsing clinical/claims data Ensure performance tuning, scalability, cost optimization, and production stability.
· Data Lake & Medallion Architecture Build Delta Lake/Parquet‑based data lakes following Medallion Architecture (Bronze → Silver → Gold). Implement CDC, schema evolution, data quality checks, and validation frameworks.
· Data Modelling & Healthcare Domain Expertise Develop canonical clinical and claims data models aligned to healthcare CDMs. Map and normalize data to industry terminologies such as: LOINC SNOMED CT ICD-9/10 CPT RxNorm
· DevOps, DataOps & Orchestration Implement CI/CD pipelines using Git, Terraform, and automated deployment workflows. Develop orchestrations/workflows with built-in data lineage, auditability, monitoring, and governance. Establish DataOps best practices for automated testing, observability, and metadata management.
· Onsite Leadership & Client Coordination Act as the primary onshore engineering lead between offshore teams and client stakeholders.
· Facilitate handovers to QA for SIT/UAT, coordinate deployment cycles, and support production readiness. Conduct architecture walkthroughs, design reviews, and requirement mapping sessions.
Skills
Data Engineering, Lead expertise, Hands on Engineer, SQL, Clinical and Claims Data Lake, EDI, Healthcare Analystics
Skills: -
Mandatory skills
· 10+ years in Data Engineering with strong hands-on development experience Expert-level skills in: Python PySpark / Spark SQL JSON, XML processing.
· Experience with: EDI 837/835, HL7, CCDA, FHIR Delta Lake, Parquet, schema evolution
· Strong understanding of: Data modelling Healthcare CDMs Data governance, lineage, audit frameworks Metadata-driven architectures Data pipeline orchestration Cloud & DevOps
· Experience with cloud-native platforms, preferably OCI Hands-on with Git, CI/CD, Terraform, DataOps automation
· Domain Knowledge Familiarity with healthcare terminology standards: LOINC, SNOMED, ICD, CPT, RxNorm
· Soft Skills Strong communication, client‑facing presence, and ability to work independently onsite Ability to coordinate offshore development teams’ Excellent documentation and technical leadership capability
Thanks and Regards |
Jack
Senior Executive
E-IT Professionals | USA • Canada • Mexico • India
Working Hours (EST)