Software Engineer
$64.89k - $173.04kCVS Health
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.
- 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.
- 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.
- 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).
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