Analytics Engineering Internship - Undergraduate - Summer 2024
Irving-750 West John Carpenter
CVS Health
America's leading health solutions company, CVS Health® provides advanced health care from pharmacy services and health plans to health and wellness.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 10-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 2024 program will run June 3rd - August 9th, 2024. Virtual onboarding activities will take place May 29th -31st, 2024.
This is a hybrid position with 3 days (generally Tuesday, Wednesday, and Thursday) in one of the following office locations based on your preference: New York, NY, Wellesley (Boston),MA, Hartford, CT and Irving, TX. The other 2 days each week will be working remotely from home, office, or another location of your choice. No housing or housing stipend will be provided.
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.
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
We are inspired to make a difference through data by making health care human-centered and connecting people to the information they need to feel the joy of achieving their best health. Our opportunities in Data Science and Data Engineering are designed to enhance your personal and professional growth and build the skills that lead to success. 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
Writes ETL (Extract / Transform / Load) processes, designs database systems and develops tools for real-time and offline analytic processing. Develop and implement technical efforts to design, build, and deploy GCP (Google Cloud Platform) applications at the direction of lead architects, including large-scale data processing, computationally intensive statistical modeling, and Advanced Analytics.
Participate in all aspects of the software development life cycle for GCP solutions, including planning, requirements, development, testing, and quality assurance
Use strong programming skills in Python, Java, or any of the major languages to build knowledge in Cloud architecture and commands to design and optimize queries to build data pipelines
Collaborate with data science teams to transform data and integrate algorithms and models into automated processes
Integrate data from a variety of sources, assuring it adheres to data quality and accessibility standards
Troubleshoot incidents, identify root cause, fix, and document problems, and implement preventive measures
Required Qualifications
Meet educational requirements (see Education section)
Knowledge in the following programing languages: SQL, Python and Pyspark
Knowledge in Big Data and Cloud architecture
Experience designing and optimizing queries
Preferred Qualifications
Cloud experience is highly preferred
Knowledge of Java/Scala
Ability to analyze and organize raw data
Experience building data transformation and processing solutions
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources
Strong collaboration and communication skills within and across teams
Strong problem-solving skills and critical thinking ability
Documentation: Create & maintain comprehensive technical documentation of processes and projects.
Education
Currently pursuing a Bachelor’s degree program with an expected graduation date between December 2024 and August 2025
Preferred majors include Computer Science, Engineering, Information Technology/Management, Information Systems
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.
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: 04/01/2024Tags: Architecture Big Data Computer Science CX Data pipelines Data quality Engineering ETL GCP Google Cloud Java Machine Learning Pipelines PySpark Python Scala SDLC SQL Statistical modeling Statistics Testing
Perks/benefits: Career development Flex vacation Home office stipend Startup environment Team events
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