Data Engineer Intern — Healthcare Analytics & AI Pipelines

Tenet Healthcare Corporation; Dallas (TX); On-site; USD 25,000 - 39,000; Full time

Benefits offered by this job

Mentorship

Professional development

Networking opportunities

Capstone project

Potential for full-time employment

Job summary

Tenet Healthcare invites students to join its Data & Analytics internship in Dallas, TX. This full-time, paid program runs June 7, 2027 – August 6, 2027, onsite at our Dallas location.

You will gain hands-on experience in data engineering, BI, and analytics while contributing to real-world healthcare data initiatives. You will work with data engineers, AI practitioners, and analysts to build pipelines, automate workflows, and develop tools that improve care delivery.

Qualifications

• Pursuing a degree in Computer Science, Software Engineering, Info Systems or equivalent.
• Excellent critical thinking and problem-solving skills.
• Interest in learning healthcare IT and data engineering concepts.

Responsibilities

• Build data pipelines and ingestion frameworks for ETL of data from diverse sources on Google Cloud Platform.
• Design and implement AI-enabled data tools and workflows.
• Identify and implement automation to optimize data delivery and processes.
• Create data infrastructure for structured and unstructured data ingestion.
• Collaborate with data and analytics teams to enhance product capabilities.
• Communicate complex technical concepts clearly to non-technical stakeholders.

Skills

Python

SQL

Data storytelling

Communication skills

Problem solving

Independence

Education

Pursuing degree in CS/Software Eng/Info Systems

Tools

Google Cloud Platform

Hive

Spark

Presto

Job description

Tenet Healthcare invites students to join its Data & Analytics internship in Dallas, TX. This full-time, paid program runs June 7, 2027 – August 6, 2027, onsite at our Dallas location.

You will gain hands-on experience in data engineering, BI, and analytics while contributing to real-world healthcare data initiatives. You will work with data engineers, AI practitioners, and analysts to build pipelines, automate workflows, and develop tools that improve care delivery.