Senior Full-Stack Engineer: Data Platform & AI Tools

CVS Health Corporation; Wyoming (OH); Hybrid; USD 83,000 - 222,000; Full time

Benefits offered by this job

Comprehensive benefits

Bonus/incentive program

Job summary

CVS Health Corporation is hiring a Senior Full Stack Software Development Engineer to join the Data Engineering team. You will own end-to-end development of a self-service data platform enabling access, quality controls, and AI-assisted analytics for engineering and analytics teams.

Leverage React (TypeScript), Python, and gRPC/REST to build scalable solutions, mentor developers, and contribute to CI/CD and monitoring. Familiarity with Kafka, Snowflake, and data pipelines is preferred.

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.

Responsibilities

• Design, develop, and maintain a full-stack application using React (TypeScript) and Python + gRPC/REST.
• Build frontend interfaces and backend services - data models, APIs, caching, observability.
• Integrate with Kafka-driven pipelines and Snowflake data platform.
• Own the full lifecycle from architecture to CI/CD and monitoring.

Skills

React (TypeScript)

Python

REST API

gRPC

Testing

Docker

CI/CD

Mentoring

Education

Bachelor of Science in Computer Science or related field

Tools

Snowflake

SQL Server

PostgreSQL

Kafka

Azure DevOps

GitHub Actions

Terraform

Job description

CVS Health Corporation is hiring a Senior Full Stack Software Development Engineer to join the Data Engineering team. You will own end-to-end development of a self-service data platform enabling access, quality controls, and AI-assisted analytics for engineering and analytics teams.

Leverage React (TypeScript), Python, and gRPC/REST to build scalable solutions, mentor developers, and contribute to CI/CD and monitoring. Familiarity with Kafka, Snowflake, and data pipelines is preferred.