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Lead Data IRIS Engineer – Cdr
| Company | CVS Health |
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| Location | Wheeling, IL, USA |
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| Salary | $118450 – $260590 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior, Expert or higher |
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Requirements
- 10+ years of hands-on experience in architecture, design, and development of enterprise applications
- 7+ Years working on IRIS for Health Platform, coding and creating IRIS components using Object Script
- 3+ Years working on HL7, XML(CCDA) and FHIR Data
- 5+ Years working on IHE Transactions (XCPD, XCA, XCR)
- 5+ years of hands-on and robust experience in Python, Unix Shell scripting, SQL and handling of JSON, XML data.
- 3+ years of experience in building applications in GCP
- 3+ years of experience working with tools to automate CI/CD pipelines (e.g., Jenkins, GIT)
- Strong communication skills are required as the position will interact with business owners
Responsibilities
- Work with seasoned Data engineers in building the next generation of ground-breaking healthcare application on IRIS for Health Platform supporting both our clinical processes and engaging consumers in their healthcare journey
- Design and lead API Development, IRIS App Development for Core Interoperability Services creating Ingestion, enrichment, and consumption frameworks and onboarding clinical data from various data sources formatted in various industry standards (FHIR, C-CDA, HL7 V2, JSON, XML, etc.)
- Collaborate with Clinical Data Consumers and lead solution discovery, design clinical data mapping and transformation solution using FHIR/HL7 interoperability guidelines
- Support modeling/diagramming and build design specifications for health care data objects and surrounding data processing logic
- Perform Health care Data Analysis, Data profiling of source data to derive meaningful insights, and document data requirements to support the new data source onboarding
- Develop proof of concepts for batch/real-time data engineering solutions that leverage emerging technologies
Preferred Qualifications
- Knowledge and Experience working on Intersystem Data Platform i.e. IRIS for Health
- GCP data engineering technologies such as Google Kubernetes Engine, Cloud Storage, Pub/sub, Cloud Composer, Big Query, and Health care API (FHIR store)
- Knowledge and Experience in Big Query is strongly preferable.
- Experience working with health care data and understanding of analytics and how it is leveraged within the healthcare industries.
- Prior experience creating FHIR API, oAuth2 authentication, or mapping healthcare data to FHIR resources will be a strong plus
- GCP Cloud Architect Or GCP Data engineering certification
