We are seeking an experienced Healthcare Data Integration Analyst / Developer to develop, maintain, test, and troubleshoot data integration solutions supporting healthcare and public health systems.
The ideal candidate will have hands-on experience with Python, SAS, R, SQL, database querying, automated data pipelines, dashboard development, and healthcare data interoperability.
Responsibilities:
Develop, test, maintain, and troubleshoot scripts using Python, SAS, R, or similar programming languages.
Design and implement system integrations, automated workflows, dashboards, and data pipelines.
Work with structured and semi-structured healthcare, public health, and complex administrative datasets.
Develop SQL queries and work with relational databases for data extraction, analysis, and reporting.
Translate business and program requirements into technical specifications and solutions.
Test, validate, and troubleshoot automated data integration processes.
Document code, technical specifications, workflows, and operational procedures.
Collaborate with technical and nontechnical teams to improve data quality, interoperability, and operational efficiency.
Required Qualifications:
Experience with Python, SAS, R, or other programming languages.
Strong SQL and relational database knowledge.
Experience with ETL processes, automated data pipelines, data linkage, and data matching.
Experience developing dashboards, reports, and automation solutions.
Knowledge of healthcare data systems, EHR, Electronic Case Reporting (eCR/eICR), or Health Information Exchange (HIE).
Understanding of healthcare interoperability standards such as HL7, XML, FHIR, and SNOMED CT.
Experience with data integration testing, validation, and technical documentation.
Strong analytical, problem-solving, communication, and collaboration skills.
Preferred Experience:
Public health surveillance systems and healthcare registries.
Electronic Health Records (EHR) and public health reporting systems.
HL7 / FHIR integration and healthcare data exchange.
Healthcare ETL development and automated data processing.
