
$54k /yr
New, posted 3 hours ago

CVSIrving, TXPosted 2 days ago
You have invested a lot of time and energy in your education, and now you want the chance to make your mark. CVS Health offers challenging opportunities to learn and grow professionally, in a culture of continuous improvement focused on changing health care for the better.
The Innovation & Technology Data Engineering Internship is a 10.5-week full-time program running from May 24, 2027 to August 4, 2027.
This is a hybrid role based in Irving, TX, with three in-office days per week, generally Tuesday, Wednesday and Thursday. The other two days may be worked remotely from home or another location of your choice. CVS Health's hybrid model gives office-based colleagues flexibility based on the work they need to complete.
Relocation assistance is provided for candidates who need to move more than 50 miles.
As a CVS Health Corporate intern, you will take part in:
The Innovation & Technology internship also includes:
The internship includes two days of paid leave and no work on the July 4 company holiday. Corporate interns also have an increased likelihood of receiving an offer for a future role with CVS Health.
Work visa sponsorship is not available for this role, including Curricular Practical Training (CPT), Optional Practical Training (OPT) and F-1 visa programs.
The Analytics & Behavior Change (A&BC) team is an innovation engine that turns data into better decisions, experiences and outcomes. Using one of the nation's largest and most diverse health care data ecosystems, its teams apply advanced analytics, machine learning, behavioral science and AI to solve complex business and health care challenges.
Focus areas include personalized consumer experiences and behavior change, digital health and omnichannel journeys, provider performance and network optimization, patient safety and clinical insights, enterprise cost management and value creation, care management and health equity, and fraud, waste and abuse prevention.
As a Data Engineering intern, you will help build the data foundations that power analytics, machine learning and AI across the business. You will work alongside experienced data engineers, data scientists and business partners to develop data pipelines, integrate data from multiple sources and help keep large-scale health care data reliable and ready for use.
You will have opportunities to:

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