Data Engineer Intern – Summer 2026 – Onsite In Dallas, TX

Data Engineer Intern

If you are looking for a valuable hands-on opportunity in the healthcare industry, Conifer Health, a division of Tenet Health has an internship for you! As a part of the Tenet and Catholic Health Initiatives family, Conifer Health brings 30 years of healthcare industry expertise to clients in more than 135 local regions nationwide. We help our clients strengthen their financial and clinical performance, serve their communities, and succeed at the business of healthcare. Conifer Health helps organizations transition from volume to value-based care, enhance the consumer and patient healthcare experience and improve quality, cost and access to healthcare.

Interns are considered an integral part of the overall Conifer Health team as Interns provide diversity of thought, experience and collaborative energy that has positive benefits for the Intern as well as Conifer Health.

We are looking for a Data Engineer Intern to support our Data & Analytics team 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.

This internship will give you the opportunity to gain valuable experience in data engineering in a corporate healthcare setting while you integrate knowledge and theory learned in the classroom with practical application and develop your skills in a professional setting. 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 1, 2026 – July 31, 2026

Benefits:

• Opportunity for mentorship and professional development.
• Exposure to real-world Data Engineer 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 for optimal extraction, transformation and loading of data from various data sources following established ingestion patterns and utilizing frameworks on Google Cloud Platform.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
• Assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

Qualifications:

• Pursuing a degree in Computer Science, Software Engineering, Info Systems or equivalent experience with a passion for data.
• Proficient with at least one scripting language (e.g., Python).
• Proficient with relational databases and SQL.
• Familiarity and experience with big data technologies (e.g.: Hive, Spark, Presto) preferred.
• Ability to communicate technical concepts clearly and concisely.
• Independence and passion for innovation and learning new technologies.
• Excellent critical thinking/problem solving skills.
• Interest in learning about healthcare information technology.