Data Analytics Engineering Graduate Internship - Summer 2025

You've invested a lot of time and energy in your education. Now you want the chance to make your mark. We offer challenging opportunities for you to learn and grow professionally. In our programs, you'll be immersed in a culture of continuous improvement, with the goal of changing health care for the better.

Position Summary

This program is a 11-week full-time opportunity that provides real work experience with a team in your business area. You will be aligned to projects to lead or contribute to while also participating in networking, development, and career exploration activities. Our Corporate Interns can apply for future full-time roles during the program and have an increased likelihood to receive an offer for a post-graduation role.

The summer internship program is from May 28th - August 8th 2025.

CVS Health follows a 3 day in office (generally Tuesday, Wednesday, and Thursday) hybrid work model providing office-based colleagues the ability to flex between working in the office and working from home based on the work you need to accomplish. The other 2 days each week will be working remotely from home, office, or another location of your choice.

Our office locations are currently expected to be: New York, NY, Wellesley (Boston), MA, Hartford, CT, and Irving (Dallas), TX . A housing stipend may be provided, based on eligibility, and interns will be given the opportunity to connect with each other prior to the start of the program to coordinate housing if desired.

The hourly rate is $55 per hour with 40 hours/week, no work on July 4th (company holiday), and two days of paid leave. Please disregard the range listed below.

Who we are

We are Americas leading health solutions company delivering care in ways no one else can. Our purpose is simple and clear: Bringing our heart to every moment of your health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.

About the Business Area

Analytics & Behavior Change is an innovation engine supporting the entire CVS Health organization (Aetna health care business, retail, and pharmacy services) by embedding deep insights into key decision processes and focusing on our biggest, most complex problems. We partner with business leaders throughout the organization using advanced analytics tools, modeling, and machine learning to generate insights by using data to create meaningful impact. We're focused on creating new opportunities that drive change across the enterprise in areas such as:

• Customer experience and behavior change

• Clinical trial recruitment and engagement

• Digital health

• Provider efficiency and effectiveness

• Patient safety

• Health care cost savings

• Clinical services/care management

• Fraud, waste, and abuse detection/prevention

Analytics & Behavior Change has the feel of a startup within one of the nation's largest companies, and we're looking for people who are motivated by solving tough challenges to join us in transforming health care....one line of code at a time.

What you will do

• Analyze complex data structures from disparate sources to develop robust data pipelines to organize, collect and standardize data that helps generate insights and addresses analytical needs

• Write ETL (Extract/Transform/Load) processes and develop tools for real-time and offline analytic processing

• Collaborate with data science and product teams to collect user stories, translate into technical specifications, and implement data transformation, algorithms and models into automated processes

• Develop and implement technical efforts to design, build, and deploy GCP (Google Cloud Platform) applications at the direction of architects, including large-scale data processing, computationally intensive statistical modeling, and advanced analytics

• Troubleshoot incidents, identify root cause, fix and document problems, and help implement preventive measures

Work visa sponsorship is available for this role. This includes participation in Curricular Practical Training (CPT), Optional Practical Training (OPT), and F-1 Visa programs.

Required Qualifications

• Meet educational requirements (see Education section)

• Experience with the following:

• SQL

• Python

• Spark/PySpark

• ETL/ELT and building high-volume data pipelines

• Working in cloud platforms such as GCP, AWS or Azure

• Internship or work experience in a related field

Preferred Qualifications

• Google Cloud Platform (GCP) experience is highly preferred

• Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources

• Experience designing and optimizing queries and building data transformation/processing solutions

• Strong collaboration and communication skills within and across teams

• Strong problem-solving skills and critical thinking ability

Education

• Currently pursuing a Master's degree program with an expected graduation date between December 2025 and August 2026

• Preferred majors include Computer Science, Engineering, Information Technology/Management, Information Systems

Pay Range

The typical pay range for this role is

$55.00 - $55.00

Whether in our pharmacies or through our health service offerings, we are pioneering a bold new approach to total health care. As health care innovators, we are making quality care affordable, accessible, simple and seamless. We await your fresh ideas, new perspectives, and the unique contributions you will make to our organization.

We anticipate the application window for this opening will close on: 01/01/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.