Senior Software Engineer, Data Apps

GeneDx•New York City, NY

22h•$162,000 - $185,000•Remote

About The Position

We are seeking a Data Apps Engineer to join our Data Applications team within the Data Platform organization. This role builds intuitive, data-driven applications that surface insights from structured and semi-structured data and incorporates AI-powered capabilities to empower clinical, operational, and business stakeholders. The Data Apps Engineer partners with data engineers, product managers, and business users to deliver web applications, embedded visualizations, and intelligent data experiences that make information accessible and actionable across GeneDx.

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or related field; Master’s degree preferred
Minimum 5+ years of experience building data-driven applications; experience in healthcare, life sciences, or regulated environments preferred
Experience building and maintaining React applications with a python backend and embedded BI solutions (Sigma)
Experience developing web interfaces that consume data from an enterprise data warehouse (Snowflake) and modern APIs
Experience integrating BI tools, embedded analytics, and AI/LLM-enabled application features using modern SDKs or APIs
Familiarity with integrating AI utilities such as MCP servers, AI SDKs, and model-backed services
Experience working with structured and semi-structured data to deliver performant, reliable solutions
Experience building data models in Snowflake to support analytics and downstream application use cases
Strong understanding of software engineering best practices, including testing, performance optimization, observability, and secure design
Experience with infrastructure-as-code (Terraform), containerization (Docker), and orchestration (Kubernetes)
Ability to collaborate effectively with Data Engineering, Product, and AI stakeholders in a cross-functional, remote-first environment

Nice To Haves

Cloud platform certifications (AWS, GCP, or Azure) or data/analytics certifications, preferred

Responsibilities

Build and maintain data-driven React applications using a python backend, embedded BI solutions (Sigma), and AI-enabled services as appropriate
Develop web interfaces and tools that consume and display data from the enterprise data warehouse and AI-backed APIs
Implement and integrate BI tools, embedded analytics, and AI-assisted workflows (e.g., natural language querying, summarization, recommendations)
Integrate with AI platforms, SDKs, and Model Context Protocol (MCP) servers to incorporate LLM-backed functionality into applications in a secure and reliable manner
Work with structured and semi-structured data to deliver performant, reliable data and AI-driven solutions
Build data models in a Snowflake data warehouse as needed
Partner with Data Engineering and Product teams to support workflows across commercial data applications, clinical operations, lab logistics, commercial analytics, and AI-enabled use cases
Apply best practices in code quality, testing, performance optimization, secure design, and responsible AI usage
Contribute ideas to improve usability, scalability, and maintainability of internal applications, including human-in-the-loop AI interactions
Collaborate effectively in a cross-functional, remote-first environment
Use infrastructure-as-code (Terraform) to provision and manage cloud environments, including AI-related services
Develop and deploy applications within containerized environments (Docker, Kubernetes), including services supporting AI inference and orchestration