CVS Health
Senior Full Stack Software Development Engineer
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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
We are hiring a Senior Full Stack Software Development Engineer with strong React and Python (with .NET as a nice-to-have) experience to join our Data Engineering team. You will serve as a key senior contributor, driving the end-to-end development of a new, critical internal self-service application. Your work on this software solution will be instrumental in our initiative to modernize how data is accessed and managed, enabling teams across the company to more easily work with their own data through the user-friendly tools you build. This project involves a shift from traditional data handling processes, with your primary focus being on creating a robust application that empowers this new approach to data accessibility and decentralized ownership.
About this Role
This is a high-impact, high-autonomy role suited for a detail-oriented and collaborative individual who thrives on ownership, knows how to apply best practices, and can independently design, build, and maintain production-grade software. While you'll be leveraging your core software engineering expertise, you'll also be at the forefront of our data modernization, gaining deep insights into modern data architectures and practices by building the tools that enable them. You will have access to AI tooling to assist in all aspects of the SDLC.
You will build a solution that provides these capabilities and more to our engineering and analytics teams.
About the Project: Data Self-Service Platform
The Data Self-Service Platform initiative addresses critical challenges in our current data operations. You will build a suite of tools that centralizes data quality and empowers analytics teams to drive insights. Specifically, you will develop a Self-Service Data Quality Platform that enables engineering and analytics teams to monitor pipelines, set up alerts, and maintain data integrity. Additionally, you will build an AI-powered analytics platform that allows analytics teams to automatically generate semantic layers and data models for use by analytic agents, accelerating time-to-insight and reducing manual dependencies.
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Key Responsibilities
- Design, develop, and maintain a full-stack application using React (TypeScript) and Python + gRPC/REST.
- Build out frontend interfaces and backend services — including data models, APIs, caching, and observability.
- Integrate with Kafka-driven pipelines and the Snowflake data platform.
- Own the full lifecycle of the application — from architecture and implementation to CI/CD and monitoring.
- Apply best practices for testing, logging, error handling, and scalability.
- Contribute to infrastructure automation with Terraform.
- Leverage Claude AI, MCPs, and other AI tooling for assisted development and code reuse.
- Mentoring other developers.
Required Qualifications
- 5+ years of hands-on experience in React (with TypeScript) and Python.
- Proven experience designing and delivering production-grade full-stack applications.
- Strong understanding of REST and gRPC API development.
- Solid testing skills — including unit, integration, and mocking frameworks.
- Experience with containerized development using Docker, and deploying through CI/CD pipelines (Azure DevOps/Github).
- Experience working with relational databases and/or data platforms (Snowflake, SQL Server, Postgres).
Preferred Qualifications
- Experience working with Claude AI, AI-enhanced development environments, or modular automation tools like MCPs.
- Familiarity with Terraform for infrastructure-as-code.
- Exposure to CQRS, Domain-Driven Design, and MediatR.
- Knowledge of structured logging, retry policies, and health check integrations.
- Understanding of security concepts like JWT, Okta, and policy-based auth.
- Familiarity with Kafka or similar event-streaming platforms.
- Experience with.NET 6+ or.NET 8.0.
- DBT (Data Build Tool)
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Education
- Bachelor of Science in Computer Science or a related field or equivalent work experience.
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is: $83,430.00 - $222,480.00
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.
Our people fuel our future.
Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Application Window
We anticipate the application window for this opening will close on: 10/02/2026
Equal Employment Opportunity
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
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