Senior Cloud Engineer

Job Description
The Data Engineering - Senior Cloud Engineer, role with CVS is embarking on a multi-year journey to redefine the experience for patients and customers interactions. To support this effort, a cross-functional horizontal data engineering team has been formed within the various lines of business (PBM, Retail etc.). This team is tasked with rapidly building, testing, and scaling high-priority use cases that drive incremental business value. These use cases require significant advances in the analytical models, supporting data structures, and data features leveraged to deliver targeted interventions to patients and customers, influencing and building data products. As a core member of the data engineering team, you will be part of building the foundational analytics platform components, managing cloud components and help in designing a cost model to monitor cloud usages. You will also be working in performance re-engineering on a cloud platform and help with performance optimization of the data pipelines.

Pay Range
The typical pay range for this role is:
Minimum: 75,000
Maximum: 167,000

Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls. The actual salary offer will take into account a wide range of factors, including location.

Required Qualifications
5+ years of experience in:

Designing data lake and analytics solutions using Cloud based tech stack (Preferably GCP)

Cloud components, including cluster management, Kubernetes, or other containerized services, storage, and workspace management

Spark tuning or equivalent performance re-engineering on a big data platform

Selection of infrastructure components such as GPUs or CPUs based on the job/compute needs

- Experience with data warehouse applications with string background on Dimensional Modeling and building ETL pipelines

Working with platform teams (Azure, GCP, or AWS) in resolving technical platform issues impacting big data applications

Translating analytical problems into structured programs, including Python, PySpark, Scala and SQL

Proficiency with tools to automate CI/CD pipelines (e.g., Jenkins, GIT, Control-M)

Executing project in any Agile framework; preferably SAFe

Designing data models and solutions for analytical and reporting use cases

Preferred Qualifications
Previous healthcare experience and domain knowledge

Education
Bachelors Degree in Computer Science, Engineering, Statistics, Physics, Math, or related field or Advanced Degree

Business Overview
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. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. 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. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.