Job Description

Job Description
CVS Health has a rich set of healthcare data of more than 150 million individuals and provides the best foundation for any ambitious data engineer to work on billions of records of healthcare data. The Data Engineering Advisor will lead the design of highly scalable and extensible data platforms including but not limited to RDBMS / Big Data / Cloud, which enables industrializing collection, storage, modeling, and analysis of massive data sets from heterogeneous channels.

The Data Engineer Advisor will collaborate with key internal and external stakeholders to analyze and synthesize healthcare related data to meet insights, build reporting dashboards and descriptive/predictive/prescriptive analytic requirements. You will work on data engineering solutions to leverage best practices and industry leading tools and technologies to profile data, develop efficient ingestion, and build semantic data layers by sourcing data from PBM, Specialty, Retail and HealthCare business.

You will conduct proof of concept work on Teradata and/or GCP to design data solutions to explore data, understand the grain and relationship of the data entities, and attributes to implement robust analytic and reporting solutions. You need to have a thorough understanding of how to operationalize and automate the data pipelines on Teradata and/or Big Data environments on on-prem/Cloud environments. You will be primarily be responsible for designing conformed, aggregated, and semantic data layers, and manipulating large datasets to support insights and analytics using SQL, BTEQ, SAS, and similar tools.

Required Qualifications
Bachelors Degree in Computer Science, Engineering, Statistics, Physics, Math, or related field with 5+ years of professional or business analytics experience; or Masters Degree with 3+ years of experience in an analytics/data engineer role.
Experience as a Data Engineer within the cloud environment

Preferred Qualifications
Traditional relational data warehouse technologies, such as Oracle, Teradata, or DB2
One of the following programming languages: PySpark, Scala, or Java
SQL, including Analytical SQL functions
Presenting to audiences including technical, non-technical, and senior leaders
Managing cross functional initiatives and communicating effectively and confidently with business partners, project team members, and senior management
Previous healthcare experience and domain knowledge
Experience working with data and understand analytics and how it is leveraged within the healthcare/retail industry

Education
Bachelors Degree in Computer Science, Engineering, Statistics, Physics, Math, or related field; or Advanced Degree
Preferred: Masters Degree with coursework focused on advanced algorithms, mathematics in computing, data structures, or related field

Business Overview
At CVS Health, we are joined in a common purpose: helping people on their path to better 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.

We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, sex/gender, sexual orientation, gender identity or expression, age, disability or protected veteran status or on any other basis or characteristic prohibited 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.