IQ Workforce is a leading recruiting firm for the global engineering, analytics & data science communities.

Our client partner, CVS Health, is hiring Cloud Data Engineers in their Enterprise Analytics organization. As CVS Health now makes up a PBM (Caremark) and one of the nation’s largest health insurers (Aetna), you will have the opportunity to create programs that use an unprecedented level of health data to improve health outcomes. If you are passionate about making a difference in the work you do, being recognized for your talent and expertise in solving complex and challenging analytical/data problems while contributing to the success of key strategic initiatives, consider growing your career with a Fortune 10 healthcare leader!

The Senior Advisor, Cloud Data Engineer role with CVS is embarking on a multi-year journey to redefine the experience for patients and customer 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.

Qualifications:
Bachelor’s Degree in Computer Science, Engineering, Statistics, Physics, Math, or related field with 8+ years of professional or business analytics experience; or Master’s Degree with 3+ years of experience in:

Designing and building a cost model to monitor cloud usage

Working as a lead on a large-scale cloud implementation

Managing 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 GPU’s or CPU’s based on the job/compute needs

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

Translating analytical problems into structured programs, including PySpark or Scala

Designing data models and solutions for analytical and reporting use cases

Preferred Qualifications
Previous healthcare experience and domain knowledge

Experience working with data and understand analytics and how it is leveraged within the healthcare/retail industry

Presenting to audiences including technical, non-technical, and senior leaders

Leading cross-functional initiatives and communicating effectively and confidently with business partners, project team members, and senior management