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Senior Software Engineer, Full-Stack

LinkedIn RxVantage Phoenix, AZ
Not Applicable Posted April 4, 2026 3 variants Job link
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Requirements
  • 7+ years of experience as a software engineer with a focus on full-stack and backend development
  • Strong expertise in React, TypeScript, and Node.js.
  • Proven experience designing, building, and scaling APIs (GraphQL and REST) in production environments Strong data modeling and database design experience, ideally with PostgreSQL
  • Experience working with modern monorepo setups and modular architectures
  • Comfortable building, supporting, and integrating with production-grade ETL/data pipelines
  • Experience building data processing and integration logic within custom applications using languages such as Node.js, Python, or SQL, with attention to performance, scalability, and maintainability
  • Familiarity with modern data tools and platforms such as AWS Glue, Snowflake, Apache Airflow, Databricks, or similar technologies
  • Strong understanding of cloud infrastructure (AWS preferred), CI/CD workflows, and containerization (Docker, Kubernetes)
  • Comfortable with test-driven development (TDD) and automated testing frameworks
  • Deep understanding of software architecture principles (e.g., SOLID, DDD, DRY)
  • Experience with both greenfield and legacy systems
  • Business Skills
  • Technically versatile and capable of leading projects across both application and data-focused initiatives
  • Confident in navigating ambiguity and owning delivery from problem framing through execution
  • Strong communication skills with an ability to bridge technical and non-technical stakeholders
  • Demonstrated experience mentoring engineers and contributing to engineering culture and growth
  • Experience in fast-paced startup or scaling environments
  • Proactive in identifying architectural and systemic improvements
Preferred Skills
  • Prior experience in healthcare, life sciences, or regulated data environments is a plus
  • Experience building or supporting admin tools and internal platforms
  • Experience with data observability, schema governance, or data lineage tooling
  • Exposure to machine learning pipelines, business intelligence tools, or product instrumentation
  • Familiarity with mobile development frameworks such as React Native or Capacitor