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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer - Ingestion - **Company:** Snowflake Inc. - **Location:** Bellevue, WA, United States - **Experience:** Expert - **Salary:** $236,000.0 - $339,200.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Apache HTTP Server, Microsoft Azure, C++ (Programming Language), Software as a Service, Cloud Computing, Software Quality, Databases, Computer Engineering, Customer Data Management, Data Structures, Software Debugging, Software Design Documents, Distributed Systems, Memory Management, Spring Framework, Meta-Data Management, Cloud Services, Systems Architecture, Strategies of Testing, Google Cloud, Cloud Platform System, Data Ingestion, System Availability, Snowflake, Apache Spark, State Machines, Multi-Cloud, Data Lakes, Information Technology, Apache Kafka, Api Design, Stream Processing, Api Management, Vectorization - **Published:** October 15, 2026 - **Apply:** https://diversityjobs.com/career/18635012/Staff-Software-Engineer-Ingestion-Washington-Bellevue ## About the Role * 10+ years of experience designing, building, and operating large-scale distributed systems or cloud-native infrastructure in production. * Proven track record of architectural leadership, having successfully taken complex, customer-facing services or external APIs from initial concept to General Availability (GA) and global scale. * Expert proficiency in Java or C++ (strong preference for engineers comfortable working across both systems-level C++ and managed service Java frameworks). * Deep expertise in external API design, cloud service orchestration, and building resilient, multi-tenant customer-facing endpoints. * Deep domain knowledge in at least one of the following: high-throughput ingestion pipelines, distributed query execution engines, messaging/streaming systems (e.g., Kafka, Pulsar), or database internals. * Exceptional written and verbal communication skills with a demonstrated ability to drive technical consensus across cross-functional leadership, product partners, and external technical stakeholders. * BS, MS, or PhD in Computer Science, Computer Engineering, or equivalent practical experience. Bonus Points * Experience building and scaling external developer platforms, SDKs, or public SaaS APIs serving external consumers. * Deep expertise with open table formats (Apache Iceberg, Delta Lake) and integration with ecosystems like Apache Spark or Ray. * Advanced performance engineering expertise: memory management, SIMD, vectorization, lock-free data structures, or I/O optimization at PB-scale. * Strong background in metadata management, transactional state machines, or consensus protocols (e.g., Raft, Paxos). * Active contributor to open-source data infrastructure, cloud-native compute systems, or query engines., The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. ## Description At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Staff Software Engineer - File Ingestion (Customer-Facing Services) Build the Future of the AI Data Cloud Snowflake's File Ingestion team owns the core engines behind COPY INTO and Snowpipe - the primary arteries landing customer data into the AI Data Cloud at hundreds of petabytes per quarter. We are expanding our core mission to build next-generation, external-facing ingestion services that directly expose file-ingest capabilities to external platforms, partner ecosystems, and customer applications. As a Staff Software Engineer, you will lead the architectural vision and execution for these mission-critical, customer-facing services. You will operate at the intersection of high-throughput distributed systems, API platform design, and direct customer feature delivery, defining how enterprise data seamlessly flows into Snowflake at global scale. What You'll Do * Drive Technical Vision & Architecture: Define the multi-year architecture and technical strategy for high-throughput, external-facing ingestion services and APIs across multi-cloud environments (AWS, Azure, GCP). * Deliver Customer-Facing Innovations: Lead the end-to-end execution of enterprise-grade external features, ensuring low-latency data landing, high availability, and seamless ecosystem integration (e.g., Snowpark Connect, partner connectors). * Set Technical Direction: Author foundational design documents, establish technical standards for reliability, security, and scalability, and lead high-stakes architectural reviews across engineering orgs. * Lead Cross-Functional Alignment: Partner closely with Principal Architects, Product Management, Security, and external developer platforms to translate customer requirements into resilient system architecture. * Elevate Engineering Excellence: Mentor and sponsor Senior, Mid-level, and Junior engineers; raise the bar for system design, code quality, testing methodologies, and operational maturity. * Direct Customer & Strategic Impact: Engage with enterprise customer engineering teams to solve complex integration challenges, debug production edge cases at scale, and turn direct customer feedback into core platform capabilities.