Associate Cloud Engineer/Site Reliability Engineer (GCP/GCP Services/Python)

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.
 
Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.

Position Summary 

In this role, you will contribute to the architecture and development of applications, backend services, and data-powered solutions. Our data products and services empower teams across CVS Health with near real time data to support big data analytics, insights, and machine learning at scale. You will build scalable applications, LLM-powered solutions, APIs and web services, data pipelines, and data-intensive infrastructure that processes petabyte size data, catalogs, transactional data, and telemetry signals. 

Required Qualifications

• 1+ years of experience as a software engineer, with a strong focus on data processing, data engineering or large-scale data systems.
• 1+ years of experience with technologies such as Python, SQL, and JavaScript. Experience with additional software and data engineering technologies and tools is a plus.
• 1+ years solving complex business or technical problems and proposing effective software solutions

Preferred Qualifications

• Software Engineering Skills: Excellent programming skills, with expertise in building robust and scalable software solutions using modern software engineering practices. Ideally worked on GCP cloud platform working with GCP services.
• Data Architecture: Solid understanding of data architecture principles and proven experience in designing and developing scalable data systems, while considering data governance requirements.
• Leadership Skills: Demonstrated ability to provide technical leadership, mentor junior engineers, and drive successful outcomes in a collaborative team environment, with a focus on engineering excellence

Education

• Education Bachelors in CS or equivalent work experience.

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$61,800.00 - $148,320.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.  The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.  This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
 
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities.  The Company offers a full range of medical, dental, and vision benefits.  Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees.  The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners.  As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.  
 
For more detailed information on available benefits, please visit Benefits | CVS Health

We anticipate the application window for this opening will close on: 03/31/2025

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