Associate Data Engineer

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

If you’re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.

At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.

As an Associate Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.

As an Associate Data Engineer, you will:

• Assisting in the development of large-scale data structures and pipelines to organize, collecting and standardizing data that helps generate insights and addresses business and reporting needs
• Writing ETL (Extract / Transform / Load) processes, designing database systems and developing tools for analytic processing
• Collaborating with stake holders to transform data and integrate with other systems leveraging automated processes
• Using programming skills in Python or any of the major languages to build robust data pipelines and dynamic systems
• Building data marts and data models to support clients and other internal customers
• Integrating data from a variety of sources, assuring that they adhere to data quality and accessibility standards 

As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.

Required Qualifications

• Experience with:
  • SQL
  • Python (or a comparable scripting language)
  • Data warehouses (such as data modeling and technical architectures) and infrastructure components
  • ETL/ELT, and building high-volume data pipelines
  • Reporting/analytic tools
  • Query optimization, data structures, transformation, metadata, dependency, and workload management
  • Big data and cloud architecture

Preferred Qualifications

• Experience with Google Cloud Platform (GCP) using tools like BigQuery, Cloud Composer, Dataproc and Dataflow. (Experience with AWS or Azure also considered).
• Knowledge of AI and ML tools, such as Vertex AI, scikit-learn, etc.
• Experience building APIs in Python.
• Experience building large-scale applications and high-volume data pipelines
• Working knowledge of orchestration tools, such as Apache Airflow
• Ability to understand complex systems and solve challenging analytical problems.
• Excellent problem-solving skills and critical thinking ability
• Strong collaboration and communication skills within and across teams

Education

Bachelor’s Degree or equivalent work experience in Computer Science, Information Systems,  Engineering, Data Science, Machine Learning, or related field required

Pay Range

The typical pay range for this role is:

$61,800.00 - $123,600.00

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: 10/08/2024

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