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Senior Software Engineer, Data Apps
Location
United States
Posted
143 days ago
Salary
$162K - $185K / year
Seniority
Senior
Job Description
Senior Software Engineer, Data Apps
GeneDx
• 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
Job 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.
Benefits
- Paid Time Off (PTO)
- Health, Dental, Vision and Life insurance
- 401k Retirement Savings Plan
- Employee Discounts
- Voluntary benefits
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