Data Engineer

1 day ago


Milwaukee, Wisconsin, United States C4 Technical Services Full time
Job Summary

Data Engineer - FHIR Analyst

Purpose

Develop and implement solutions to acquire and prepare data for analytical and operational uses to support diverse stakeholder needs throughout.

Implement automation to ingest and integrate data from different sources - Electronic Health Records, Lab Systems, other hospital systems, including third party vendor systems.


Key Responsibilities

Collaborate with data subject matter experts and technical professionals as a key member of multidisciplinary team or in support of automating data acquisition from healthcare data sources using HL7 FHIR (Faster Healthcare Interoperability Resources).

Work with team or independently design, document and test FHIR Implementation Guides (IG's) and FHIR extensions that will enable external partners-medical centers and vendorsto structure data submissions in standard, repeatable way.

Work with partners to implement FHIR IG's and extensions by providing implementation guidance and troubleshooting, as appropriate.
Collaborate with submitting centers or vendors to resolve FHIR submission issues.

Work with architects, data engineers and database analysts to define and implement data pipelines to parse, and accept data received from different center submissions, vendor applications & build the data modeling/mapping into Common Data Models.

Work alongside subject matter experts to acquire deep understanding of data domains and data use to support data analysis and use.

Collaborate with technical resources to perform data profiling, root cause analysis and complete remediation of data quality issues.
Specify and develop logging and reporting for error notifications.
Prepare and maintain system documentation that aligns with internal SOP's, best practice and regulatory compliance.
Provides technical support for application software.

Requirements

Experience with EDI/FHIR/HL7 platforms & technologies and knowledge of Healthcare Industry standards and requirements.
Strong knowledge of data interoperability and data transfer standards.
Proficient with SQL.
Strong data analysis and profiling skills along with uncompromising commitment to preserve data quality and integrity.
Strong knowledge of data modeling principles and data standards.
Understanding of healthcare data taxonomies, ontologies, and controlled vocabularies.

Knowledge in HL7 standard data transfer formats and FHIR formatted XML and JSON objects and need to know how to read and write functionality works based on the GET/PUT/POST/DELETE functions used in web-based APIs.



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