Senior Data Integration Developer – Healthcare (Hybrid)

Cornerstonetechtalent; Austin (TX); Hybrid; USD 96.000 - 152.000; Teilzeit

Zusammenfassung

CornerStone Technology Talent Services in Austin, TX seeks a Senior Data Integration Developer to modernize public health data systems and automate complex health data workflows. You will collaborate with epidemiologists and technical teams to improve how electronic health information supports surveillance.

The role emphasizes hands-on development in SAS, Python, or R, building automated ETL pipelines, and creating dashboards for operational visibility.

Qualifikationen

• 8+ years experience in data integration with SAS, Python, or R.
• Experience in system integration, dashboard development, and workflow automation.
• Experience with healthcare/public health datasets and DB querying.
• Gathering and documenting requirements and translating them into technical solutions.
• Testing and validating automated data integration processes.
• Documentation of code and data mappings and workflow procedures.
• Analytical problem-solving and stakeholder collaboration.

Aufgaben

• Assess existing systems and workflows; translate business needs into technical requirements.
• Develop, test, and maintain programs using SAS, Python, R, or similar languages to extract, validate, transform, and integrate data.
• Build automated workflows that ingest electronic case reports and reduce manual review.
• Develop dashboards that support case prioritization and modernization efforts.
• Validate data accuracy across source systems and downstream applications.
• Troubleshoot integration issues and refine data processing and matching methods.
• Document code, data mappings, validation rules, and technical specs.
• Recommend practical improvements to make integrations sustainable.

Kenntnisse

SAS

Python

R

ETL pipelines

SQL

System integration

Tools

HL7

FHIR

XML

SQL databases

Jobbeschreibung

CornerStone Technology Talent Services in Austin, TX seeks a Senior Data Integration Developer to modernize public health data systems and automate complex health data workflows. You will collaborate with epidemiologists and technical teams to improve how electronic health information supports surveillance.

The role emphasizes hands-on development in SAS, Python, or R, building automated ETL pipelines, and creating dashboards for operational visibility.