Retail Analytics Engineering – Sr. Manager (Data)

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
As a Senior Manager, Data Engineering for Analytics and Behavioral Change team, you will be working with billions of records of retail and healthcare data and help lead teams to deliver
You will:
• develop data applications working in partnership with Data Science and Data Engineering Leaders.
• leverage standardized tools, methodologies and infrastructure to make analytics faster, more insightful, and more efficient
• design highly scalable, batch and real-time cloud data platforms which enables collection, storage, modeling, and analysis of massive data sets from numerous channels
• assess and provide recommendations on business requirements, with appropriate timing and deployment
• bring a DevOps mindset to enable big data and batch/real-time analytical solutions that leverage emerging technologies
• Develop prototypes and proof of concepts for the selected solutions, and implement complex data projects
• Apply a creative mindset to a focus on collecting, parsing, managing, and automating data feedback loops in support of business innovation

• Identifies opportunities to streamline data engineering processes, improve efficiency, and enhance the quality of deliverables.

• Provides guidance and mentorship to junior data engineers to help them develop their technical skills and grow in their roles.

Required Qualifications

• 5+ years experience, 3+ years people management experience
• Managerial experience overseeing an engineering team and guiding them on the below:

• Strong in SQL and Python, with 3+ years hands-on coding experience with both
• Experience with real-time and streaming technology
• Experience building automated big data pipelines
• Experience performing data analysis and data exploration
• Experience with solution design, implementation and deployment
• Experience with Azure or GCP
• Experience with RDBMS and NoSQL Databases and hands-on query optimization
• Experience with orchestrating pipelines using automation tools
• Experience with deployment/scaling of apps on containerized environment
• Experience with cross-functional collaboration to align on priorities and achieve deliverable outcomes

• Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark

• Exposure/understanding DevOps best practice and CI/CD 

Preferred Qualifications

• Knowledge and experience on ML Engineering

• Experience with REST API/Microservice development using Python.

• Healthcare experience or retail domain knowledge.

• Strong critical thinking, communication, and problem-solving skills
• Experience with setting coding standards, performing code reviews, and overseeing project delivery by mentoring junior developers

• Experience working in multi-developer environment, using version control
• Experience working in an agile delivery environment
 

Education
Bachelor’s Degree in Computer Science, Engineering, Machine Learning, or related field or equivalent experience.
Preferred: Master’s Degree with coursework focused on advanced algorithms, mathematics in computing, data structures, etc.

Pay Range

The typical pay range for this role is:

$118,450.00 – $267,800.00

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.  This position also includes an award target in the company’s equity award program. 
 
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 jobs.CVSHealth.com/benefits

We anticipate the application window for this opening will close on: 04/30/2024