Data Engineer Intern

Description

About Us If you are looking for a valuable opportunity in the healthcare industry, Tenet Health has an internship for you! Tenet Health is comprised of 50 hospitals, approximately 640 outpatient centers and additional sites of care. We are differentiated by our top-notch medical specialists and service lines that are tailored within each community we serve. We are a community built on CARE.

Our caregivers and supporting staff extend compassion to those in need, helping to improve the health and well-being of those we serve, and provide comfort and healing. This internship in Data & Analytics is all about integrating knowledge and theory learned in the classroom with practical application and developing your skills in a professional setting. You will gain valuable experience in data engineering in a corporate healthcare setting.

Data is a key asset for Tenet Healthcare and the Data & Analytics group work with a variety of data from disparate sources to provide a whole host of analytics ranging from BI reporting and dashboards to advanced analytics like retrospective and predictive models. This directly helps in measuring and improving quality of care provided to communities Tenet serves.

You will play a key role in advancing our data engineering capabilities in all facets of data i.e. ingestion, curation, orchestration, governance, and analytics to ultimately deliver the right care, in the right place, at the right time.

Program Overview

• Full-Time, Paid Internship
• Onsite in Dallas, TX
• June 7, 2027 – August 6, 2027

Benefits

• Opportunity for mentorship and professional development.
• Exposure to real-world Data Engineering projects and challenges.
• Networking opportunities with experienced professionals.
• Completion of capstone project directly related to area of study.
• Potential for future full-time employment.

Responsibilities

• Building required data pipelines and intelligent ingestion frameworks for optimal extraction, transformation, and loading of data from various data sources on Google Cloud Platform.
• Design and implement agentic software workflows and autonomous data tools leveraging Large Language Models (LLMs) and advanced AI engineering patterns.
• Identify, design, and implement internal process improvements: automating manual processes, orchestrating AI-driven automation, and optimizing data delivery.
• Build the infrastructure required for optimal extraction, transformation, and loading of structured and unstructured data from a wide variety of sources.
• Assist with data and AI-related technical issues and support internal data and model infrastructure needs.
• Create intelligent tools for analytics and data scientist team members that assist them in building, deploying, and optimizing our product into an innovative industry leader.
• Work with data, AI, and analytics experts to strive for greater functionality, intelligence, and automation in our data systems.

Qualifications

• Proficient with at least one scripting language (e.g., Python).
• Proficient with relational databases and SQL.
• Familiarity and experience with big data technologies (eg: Hive, Spark, Presto).
• Ability to communicate technical concepts clearly and concisely.
• Independence and passion for innovation and learning new technologies.

Preferred:

• Pursuing a degree in Computer Science, Software Engineering, Info Systems or equivalent experience, with a passion for data.
• Excellent critical thinking/problem solving skills.
• Interest in learning about healthcare information technology.