Associate Data Engineer

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

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:

Understands the Enterprise data systems and acquires knowledge on the relevant processes need for project delivery.

• Participate in Agile scrum activities/project status meetings on regular basis.
• Participate in User story discussion with technical lead.
• Uses strong programming skills to build robust data pipelines for ETL (Extract / Transform / Load) processes and develops tools for data processing.
• Work closely with Tech Leads to support UAT/Pre-prod testing and deployment activities.
• Documents data engineering processes, workflows, and systems for reference and knowledge-sharing purposes.
• Implements data quality checks and validation processes to ensure the accuracy, completeness, and consistency of the data.
• Be a team player and work with team members for Business solution and implementation.

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

• 6 months of Experience in executing Data warehousing ETL projects.
• 6 months of Experience with Python
• 6 months of Experience with SQL
• 6 months of hands-on Experience with bash shell scripts, UNIX utilities & UNIX Commands
• 6 months of hands-on Experience with a major cloud platform (GCP, AWS, Azure)

Preferred Qualifications

• Experience in designing and building data engineering solutions in cloud environments (preferably GCP)
• Experience with Jenkins, Git, CI/CD pipeline, and other DevOps principles/best practices

• Experience with bash shell scripts, UNIX utilities & UNIX Commands
• Understanding of software development methodologies including waterfall and agile.
• Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources
• Knowledge of API development
• Experience with complex systems and solving challenging analytical problems
• Strong collaboration and communication skills within and across teams
• Knowledge of data visualization and reporting
• Any cloud fundamentals certification from major cloud service providers(GCP preferred)
• Knowledge of microservices and SOA
• Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge

Education

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

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 https://jobs.cvshealth.com/us/en/benefits

We anticipate the application window for this opening will close on: 04/17/2026

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