Senior Software Engineer, Data Apps

GeneDx (Nasdaq: WGS) delivers personalized and actionable health insights to inform diagnosis, direct treatment, and improve drug discovery. The company is uniquely positioned to accelerate the use of genomic and large-scale clinical information to enable precision medicine as the standard of care. GeneDx is at the forefront of transforming healthcare through its industry-leading exome and genome testing and interpretation services, fueled by the world’s largest, rare disease data sets. For more information, please visit www.genedx.com.

Summary 

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.

Job 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

People Manager

• No

Education, Experience, and Skills

• 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

Certificates, Licenses, Registrations

• No required certifications
• Cloud platform certifications (AWS, GCP, or Azure) or data/analytics certifications, preferred.

Work Environment

• This is a fully remote position. The employee will work from a home office or other suitable remote location with reliable high-speed internet access. Work is performed in a climate-controlled environment using standard office equipment including computer, phone, and video conferencing tools. Your standard work schedule and hours will be established in collaboration with your leader and may be adjusted to align with evolving business needs.

Physical Demands

This is a sedentary role requiring prolonged periods of sitting while working at a computer. Physical demands include:

• Sitting for extended periods (up to 8 hours per day)
• Repetitive use of hands and fingers for typing and mouse operation
• Visual acuity for reading computer screens and documents
• Ability to communicate effectively via phone and video calls
• Occasional lifting of up to 10 pounds (office supplies, equipment)

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.

Acknowledgements

The above job description is not intended to be an all-inclusive list of duties and standards of the position.  Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor.   

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