Interoperability & Data Integration Engineer

ArnAmy, Inc.; Austin (TX); Presencial; USD 110.000 - 140.000; Jornada completa

Descripción de la vacante

ArnAmy, Inc. is seeking a Data Integration Specialist to drive seamless data exchange across TBIRDS. You will design automated workflows, ensure data quality, and collaborate with health partners to improve reporting capabilities.

Responsibilities include interoperability assessments, building SAS/Python/R programs, dashboards, validation, and documentation to support ongoing maintenance and modernization of TBIRDS workflows. A strong background in health data and data integration is required.

Formación

• Experience with SAS, Python and R for data processing, analysis and automation.
• Proven ability to develop, test, and maintain data integration solutions.
• Experience in health data and interoperable systems is highly desirable.
• Ability to document technical specifications and workflows clearly.
• Strong problem-solving and collaboration skills across teams.

Responsabilidades

• Interoperability needs assessment for TBIRDS eICR ingestion and auto-population of fields.
• Develop, test, and maintain SAS, Python, R programs and dashboards to automate data flow.
• Test and validate automated workflows; troubleshoot issues and refine solutions.
• Support modernization efforts and planning for interoperability projects.
• Document processes, requirements, and technical recommendations for stakeholders.

Conocimientos

SAS

Python

R

Dashboard creation

Automation

Documentation

Analytical skills

Herramientas

SQL

Descripción del empleo

ArnAmy, Inc. is seeking a Data Integration Specialist to drive seamless data exchange across TBIRDS. You will design automated workflows, ensure data quality, and collaborate with health partners to improve reporting capabilities.

Responsibilities include interoperability assessments, building SAS/Python/R programs, dashboards, validation, and documentation to support ongoing maintenance and modernization of TBIRDS workflows. A strong background in health data and data integration is required.