Healthcare Data Integration Engineer — SAS, Python & Interop

Focuz Mindz Inc.; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Focuz Mindz Inc. is seeking an experienced data specialist in Austin, TX to develop, test, and maintain automated data solutions for healthcare data ecosystems. You will work on integration, dashboards, and pipelines, translating business needs into scalable technical implementations.

The role requires deep expertise in scripting (SAS, Python, R), SQL databases, and data management, with strong documentation and communication skills to support cross-functional teams.

Qualifications

• 8+ years of experience developing, testing, maintaining, and troubleshooting scripts in SAS, Python, R, or similar languages.
• 8+ years in system integration, dashboard development, and workflow automation.
• 8+ years working with healthcare data (structured or semi-structured).
• 8+ years with databases, SQL querying, and data management.
• Experience translating business requirements into technical solutions.
• Strong experience with automated data integration testing and validation.
• Ability to document code, technical specifications, workflows, and procedures.
• Excellent analytical, problem-solving, and communication skills.

Skills

SAS

Python

R

System integration

Dashboard development

Workflow automation

Healthcare data

Databases

SQL querying

Data management

Requirements translation

Data integration testing

Data validation

Documentation

Analytical skills

Problem-solving

Communication skills

Job description

Focuz Mindz Inc. is seeking an experienced data specialist in Austin, TX to develop, test, and maintain automated data solutions for healthcare data ecosystems. You will work on integration, dashboards, and pipelines, translating business needs into scalable technical implementations.

The role requires deep expertise in scripting (SAS, Python, R), SQL databases, and data management, with strong documentation and communication skills to support cross-functional teams.