Software 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.

Software Engineer
Data Engineering | Full Stack (React / Python)
Position Summary
We are hiring a Software Engineer with React and Python experience to join our Data Engineering team. You will contribute to the end-to-end development of a new, critical internal self-service application. Working alongside senior engineers, you will help modernize how data is accessed and managed — enabling teams across the company to work with their data through the user-friendly tools you help build. This is an opportunity to grow your full-stack skills in a collaborative environment while making a meaningful impact on a high-visibility platform initiative.
About this Role
This role is well-suited for a curious, detail-oriented engineer who is eager to grow their craft, works well in a team setting, and takes pride in writing clean, reliable code. You will work with growing autonomy on well-defined tasks, collaborating closely with senior engineers who will provide guidance, mentorship, and code review. You are expected to ask good questions, communicate blockers promptly, and take ownership of your contributions from implementation through deployment. You will have access to AI development tools — including Claude, Snowflake CoCo, and Copilot — to assist across all phases of the SDLC.
You will contribute to a platform that provides:
•    Self-Service Data Ingestion — Help build the UI and backend that empowers application teams to register Kafka topics, update schemas, and ingest data, reducing lead times from weeks to minutes.
•    Automated Monitoring & Incident Management — Implement standardized logging, alerting, and escalation to improve issue resolution and system reliability.
•    Data Preview Capabilities — Build features that allow application engineers to preview how their data will appear in the warehouse before production.
About the Project: The Data Self-Service Platform
The Data Self-Service Platform addresses critical challenges in our current data operations. Today, data ingestion is often manual and ticket-driven, leading to delays and limiting self-service for application teams. You will help build a platform that empowers data owners to ingest, transform, and serve their data — giving them full control and accountability for data quality. This platform will enable data producers and consumers to collaborate efficiently, address issues directly, and streamline testing changes.
Key Responsibilities
•    Develop and maintain features for a full-stack application using React (TypeScript) and Python.
•    Build frontend components and contribute to backend services — including APIs, data models, and basic caching.
•    Write clean, well-tested code; ensure thorough unit and integration test coverage for your changes.
•    Participate in code reviews, giving and receiving constructive feedback to uphold team quality standards.
•    Integrate with Kafka-driven pipelines and the Snowflake data platform under the guidance of senior engineers.
•    Contribute to CI/CD pipelines and validate functional correctness of code post-deployment.
•    Implement logging and basic observability instrumentation for features you build.
•    Communicate blockers and progress clearly; escalate issues with appropriate urgency.
•    Leverage AI development tools (Claude, Snowflake CoCo, Copilot) to improve development speed and code quality.
•    Actively seek out mentorship and coaching from senior engineers; share learnings with teammates.
Required Qualifications
The following qualifications are non-negotiable. Candidates must fully meet each requirement to be considered.
•    3-5 years of professional software development experience.
•    Demonstrated, hands-on experience building applications in both React (TypeScript) and Python.
•    Experience developing and consuming REST APIs.
•    Experience writing unit and integration tests using established testing frameworks.
•    Proficiency with Git-based version control, including branching, pull requests, and code review workflows.
Preferred Qualifications
•    Experience with containerized development (Docker) and CI/CD pipelines (Azure DevOps or GitHub Actions).
•    Familiarity with Kafka or similar event-streaming platforms.
•    Exposure to relational databases and/or cloud data platforms (Snowflake, SQL Server, Postgres).
•    Experience with gRPC API development.
•    Experience with AI-enhanced development tools such as Claude, Snowflake CoCo, or Copilot.
•    Basic exposure to Terraform or infrastructure-as-code concepts.
•    Awareness of structured logging, health check patterns, and observability tooling.
•    Familiarity with authentication and authorization concepts (JWT, Okta, policy-based auth).
•    Exposure to domain-driven design (DDD) or CQRS patterns.
•    DBT (Data Build Tool).
Education
•    Bachelor of Science in Computer Science or a related field, or equivalent work experience.
 

Anticipated Weekly Hours

Time Type

Pay Range

The typical pay range for this role is:

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. 
 

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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.

Additional details about available benefits are provided during the application process and on Benefits Moments.

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