QA Tester FHIR and HL
Listed on 2026-09-04
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IT/Tech
IT QA Tester / Automation, Data Analyst, Systems Analyst
Job Title : QA Tester with FHIR and HL7 experience
Location:
100% Remote
Duration: 6+ Months- C2H
Responsible for planning, developing, analyzing and invoking critical processes around software engineering across the enterprise. Performs analysis of data, and identifies risks and issues of key processes. Participates in and/or conducts problem solving sessions. Documents and communicates deliverables. Functions may include estimating, defect and resource management, report development, and software process improvement implementation and quality control activities. For the Quality discipline, collaborate with project teams to ensure that established quality goals are being incorporated into the business solution.
Provide consistent and regular feedback to application and process owners with recommendations for continuous improvement. Provide support and guidance in relation to software artifacts and processes supported across the enterprise
- 1-3 years of experience (open to someone with 4 or more years if they are a match)
- Experience source-to-target mapping of data
- Analysis of business problems/needs
- Excellent written & verbal communication skills
- Must be able to work independently and as part of a team
- Must have analytical skills
- Proficiency in technical skills and communication
- Experience with FHIR (1-3 years)
- Kafka (1-3 years)
- Experience with Agile (i-3 years)
- Experience in Healthcare or Health Insurance Industry preferred
- HL7 v2/v3 testing knowledge, experience
Quality Engineer with experience testing healthcare data integrations and interoperability solutions involving APIs, SFTP, Kafka, and EHR platforms such as Epic and Oracle Health. Skilled in test planning, test automation, integration testing, data validation, FHIR and HL7 v2/v3 testing, defect management, regression testing, and source-to-target reconciliation. Strong analytical skills with experience supporting Agile delivery teams and end-to-end validation of healthcare data exchanges.
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