Conversational Data Engineer

• StarTekk’s adoption of Digital Transformation is to accelerate organizational growth, increase efficiencies and help Star Workforce achieve focused business goals. The Employee will help our organization to identify and bridge the gap that exists in the business by analyzing the data, scale and support digital transformation initiatives.

Summary: Build data pipelines that power conversational AI and virtual assistants for healthcare members and providers.

• Develop ETL/ELT data pipelines
• Engineer cloud data solutions (GCP preferred)
• Prepare and optimize conversational data for AI use

Must have: ETL/ELT, cloud data engineering (GCP preferred), SQL, Python.

ETL/ELT, cloud data engineering (GCP preferred), SQL, Python.

Healthcare Domain Requirements:

• Understanding of healthcare applications and business processes.
• Knowledge of HIPAA compliance requirements.
• Experience handling Protected Health Information (PHI) securely.
• Healthcare or other regulated industry experience is preferred.

• Candidates should have relevant hands-on experience in Salesforce (SFDC) automation testing.
• Experience with functional, regression, and integration testing is preferred.
• Strong communication and collaboration skills are expected.