Conversational Data Engineer

Startekk Inc; Dallas (TX); On-site; USD 110,000 - 165,000; Full time

Job summary

Startekk Inc is seeking a data engineer to build data pipelines powering conversational AI and virtual assistants for healthcare members and providers. You will engineer cloud data solutions (GCP preferred) and prepare and optimize conversational data for AI use, enabling scalable analytics across our organization.

Required skills include ETL/ELT, SQL, Python, and cloud data engineering with a focus on HIPAA-compliant handling of PHI.

Qualifications

• ETL/ELT, cloud data engineering (GCP preferred), SQL, Python.
• HIPAA/compliance aware handling of PHI and healthcare data experience preferred.

Responsibilities

• Build data pipelines that power conversational AI and virtual assistants for healthcare members and providers.
• Engineer cloud data solutions (GCP preferred).
• Prepare and optimize conversational data for AI use.

Skills

ETL/ELT

Cloud data engineering

SQL

Python

GCP

Tools

Google Cloud Platform

Salesforce SFDC automation testing

Job description

• 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.

Job Description

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

• 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.

Qualifications

Additional Information

• 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.