Software Engineer

CVS Health

2d•$64,890 - $173,040

About The Position

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. 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. 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.

Requirements

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.

Nice To Haves

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).

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.