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.
The Snowflake Openflow team is building Snowflake’s next-generation open, extensible, and secure data integration platform for real-time, scalable, bi-directional data movement, powered by Apache NiFi. We enable customers to move structured and multi-modal unstructured data across any source and any sink—Snowflake and non-Snowflake alike—through a single, cloud-native platform that supports batch and streaming, and flexible runtimes spanning Snowflake-managed (SPCS) and Bring Your Own Cloud (BYOC) data planes.
Our team includes original creators and core contributors to Apache NiFi and industry leaders in data integration, now focused on bringing NiFi’s proven strengths—visual flows, rich connectors, and powerful routing—to Snowflake’s AI Data Cloud at enterprise scale. We work end to end across high-performance runtimes, and curated connectors, partnering closely with product, field, and open-source communities to help customers continuously ingest data, power AI and analytics workloads, and make smarter decisions in real time.
As a Software Engineer on the Snowflake Openflow team, you will:Design and implement features in Openflow’s control plane and data plane, contributing to reliable, scalable, and secure services that power real-time, bi-directional data movement for our customers.
Contribute to distributed systems for batch and streaming workloads, enabling high-throughput, low-latency data pipelines across Snowflake and non-Snowflake environments, for both structured and multi-modal unstructured data.
Design, scope, and deliver small projects end to end - from requirements clarification and technical design through implementation, testing, rollout, and follow-up improvements - with guidance from senior engineers. Contribute to medium-sized projects with appropriate support.
Operate and support the components you build, including monitoring, on-call participation, incident response, and contributing to post-incident reviews and reliability improvements.
Apply solid engineering practices in your area, including clean code, robust testing, observability, security, and documentation, to keep our platform easy to operate and evolve.
Collaborate closely with peers across engineering, product, and design to clarify requirements, create technical plans, break work into milestones, and communicate progress and risks.
Analyze and improve performance, scalability, and reliability of existing services and pipelines, using metrics, profiling, and experimentation to guide optimizations.
Contribute to code reviews, design discussions, and team knowledge sharing, including mentoring interns or onboarding newer engineers.
Contribute to shared platform tooling and patterns, helping make it easier for Openflow teams to build, deploy, and operate high-quality connectors and runtimes.
2+ years of industry experience building and operating backend or platform services, including hands-on work with distributed systems.
Strong computer science fundamentals, including algorithms, data structures, and systems design, with the ability to apply them pragmatically in production code.
Practical experience with distributed systems concepts such as concurrency, replication, partitioning, streaming, and fault tolerance, and how they impact correctness, performance, and operability.
Solid understanding of operating systems and networking basics, including multithreading, memory management, storage, and debugging performance and scale issues.
Proficiency in Java or a similar object-oriented language, such as Scala, Go, or C++, and experience working in large, shared codebases.
Experience building cloud-native services on at least one major cloud provider, such as AWS, Azure, or GCP, using containers, CI/CD, and modern monitoring and logging stacks.
A track record of delivering high-quality, maintainable solutions to non-trivial engineering problems, balancing speed with long-term reliability and simplicity.
Strong collaboration and communication skills, with the ability to work effectively with teammates across locations, give and receive feedback, and explain technical trade-offs clearly.
BS in Computer Science or a related field, or equivalent practical experience building and shipping distributed systems.
Bonus: Experience with data integration, observability, or streaming/flow technologies such as Apache NiFi, Kafka, Flink, or Airflow, or with analytics/data platforms.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
Skills Required
- 2+ years of industry experience building and operating backend or platform services
- Strong computer science fundamentals (algorithms, data structures, systems design)
- Practical experience with distributed systems concepts (concurrency, replication, partitioning, streaming, fault tolerance)
- Solid understanding of operating systems and networking basics (multithreading, memory management, storage, debugging performance and scale issues)
- Proficiency in Java or similar object-oriented language (Scala, Go, C++)
- Experience building cloud-native services on at least one major cloud provider (AWS, Azure, or GCP) using containers, CI/CD, and modern monitoring/logging stacks
- Operate and support components you build, including monitoring, on-call participation, incident response, and post-incident reviews
- BS in Computer Science or related field, or equivalent practical experience
- Experience with data integration, observability, or streaming/flow technologies (Apache NiFi, Kafka, Flink, Airflow) or analytics/data platforms
- Track record of delivering high-quality, maintainable solutions and strong collaboration/communication skills
Snowflake Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.
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Fair & Transparent Compensation — Pay is considered competitive across many roles, and the company highlights structured practices aimed at pay equity. Total compensation is often described as strong at senior levels when equity and bonuses are included.
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Equity Value & Accessibility — Equity grants and an ESPP are standard, making ownership accessible and a meaningful part of total rewards. New-hire RSUs and ongoing equity alongside bonus/commission programs are emphasized.
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Healthcare Strength — Comprehensive medical coverage is offered with programs like Lyra providing up to 25 no-cost therapy/coaching sessions, alongside HSA-eligible plans. Wellness resources and additional clinical programs (such as Omada for certain conditions) broaden the scope of support.
Snowflake Insights
What We Do
Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.
Why Work With Us
Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.
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