Backend Engineer - Streamlit in Snowflake
SnowflakeUS-WA-BellevuePosted 18 March 2026
Tech Stack
Job Description
Backend Engineer - Streamlit in Snowflake
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
Snowflake is revolutionizing how organizations build and deploy data applications by bringing the power of Streamlit directly into the Snowflake Data Cloud. We are seeking a talented Backend Engineer to join our Streamlit in Snowflake (SiS) team, where you'll build the robust infrastructure and APIs that power seamless, enterprise-grade data application experiences running natively within Snowflake's secure, scalable platform.
As a Backend Software Engineer on the SiS team, you will work with cutting-edge cloud technologies and distributed systems, including Python, Go, Snowflake's compute infrastructure, and cloud-native architectures. You'll be instrumental in building the backend services and APIs that enable the next generation of data application development tools, allowing organizations to create powerful, interactive applications that scale to enterprise workloads without ever leaving their data warehouse.
Your work will directly impact how enterprises worldwide interact with their data, building the performant, secure backend systems that make complex analytics accessible while maintaining Snowflake's hallmarks of security, governance, and performance.
WHAT YOU'LL DO:
We're looking for Backend engineers who are excited about building enterprise-grade infrastructure and services for Streamlit in Snowflake, empowering organizations to unlock the full potential of their data through robust application development capabilities within the Snowflake ecosystem.
RESPONSIBILITIES:
- Build industry-leading backend features and APIs that enterprise users and data teams depend on within the Snowflake platform
- Design and implement scalable backend services that seamlessly integrate with Snowflake's native compute, storage, and security infrastructure
- Lead projects that span backend architecture, data processing pipelines, and cloud infrastructure within Snowflake's distributed system
- Promote strong collaboration within cross-functional teams of Design, Product, Engineering, and Cloud Infrastructure
- Build for enterprise scale, performance, and security to serve large organizations and their data workloads, handling high-throughput and low-latency requirements
- Contribute to the technical architecture and product vision for data application development in the cloud
- Ensure seamless integration with Snowflake's security model, governance features, multi-tenant architecture, and data isolation requirements
- Design and optimize APIs for performance, reliability, and developer experience
- Implement robust monitoring, observability, and error handling for production systems
YOU MIGHT THRIVE IN THIS ROLE IF YOU:
- 3+ years of experience building backend systems for enterprise web applications or cloud-based platforms
- Strong development skills in Python, Go, or Java, with deep experience in cloud-native architectures
- Proficiency in designing and implementing RESTful APIs, GraphQL, or gRPC services with focus on performance and scalability
- Deep understanding of distributed systems, microservices architecture, and cloud infrastructure patterns
- Experience with enterprise software requirements including security, governance, multi-tenancy, data isolation, or platform engineering
- Strong system design skills, including understanding of scalability patterns, caching strategies, and performance optimization
- Knowledge of cloud platforms (AWS, Azure, GCP) and hands-on experience with containerization (Docker, Kubernetes) and infrastructure-as-code
- Experience with data processing, streaming systems, or working with large-scale data platforms is highly desirable
- Hunger to build except ... (truncated, view full listing at source)
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