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Snowflake

Snowflake delivers the AI Data Cloud, a global network enabling organizations to mobilize data with near-unlimited scale, concurrency, and performance. It allows users to unite siloed data, securely share governed data, and execute diverse analytic workloads seamlessly across multiple public clouds. The platform supports data warehousing, data lakes, data engineering, data science, and data application development, empowering businesses to leverage their data effectively.

<div><div>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&rsquo;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 &mdash; 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.
Snowflake is a high-growth, cloud-native data platform company committed to empowering enterprises to achieve their full potential. With a culture built on impact, innovation, and collaboration, we offer an environment where you can build large-scale systems, move fast, and take your technology career to the next level.
We are seeking an outstanding Staff Software Engineer with a passion for large scale databases and distributed systems to help us take the FDB platform to the next level. A massive new market opportunity is being created at the intersection of Cloud and Data, and the Snowflake Data Cloud is leading the way, all powered by the database engine we are building from the ground up.
Key to Snowflake&rsquo;s Database Engine is our large scale distributed transactional Key-Value store - called FDB - which powers all of Snowflake&rsquo;s products and services and is rapidly evolving to meet Snowflake&rsquo;s future needs.
FDB runs on multiple cloud providers including Amazon Web Services, Microsoft Azure and Google Cloud. The elastic infrastructure FDB runs on is being built from the ground up and is envisioned to be a cloud agnostic, fully automated manageability platform that provides:<ul><li>
Autoscaling and auto-balancing of clusters based on utilization, traffic and workloads</li><li>
Auto-provisioning of new clusters with zero manual intervention</li><li>
Self-healing capabilities that prevent, mitigate and resolve any production impact</li><li>
Built-in configuration management that guarantees FDB runs correctly and on the intended topologies</li><li>
Self-optimizing COGS efficiency, ensuring we run our clusters at optimal utilization</li></ul>
AS A STAFF SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL:<ul><li>
Design and implement scalable distributed system solutions for our cloud agnostic platform.</li><li>
Analyze fault-tolerance and high availability issues, performance and scale challenges, and solve them.</li><li>
Own the end to end delivery of your projects, from identifying a solution, to design, implementation, test and safe production rollout</li><li>
Understand trade-offs between consistency, durability and costs to build solutions which can meet the demands of rapidly growing services.</li><li>
Build the next generation transaction system, caching, storage engine and multi tenant capabilities</li><li>
Evangelize best practices in database usage and end-to-end architecture.</li><li>
Pinpoint problems, instrument relevant components as needed, and ultimately implement solutions.</li></ul>
OUR IDEAL STAFF SOFTWARE ENGINEER WILL HAVE:<ul><li>
8+ years industry experience designing, building and supporting large scale infrastructure in production.</li><li>
Experience designing, building, and operating large-scale distributed systems infrastructure supporting stateful services</li><li>
Experience in container orchestration, cluster management, or autoscaling.</li><li>
Excellent understanding of operating systems concepts including multi-threading, memory management, networking and storage, performance and scale.</li><li>
Systems programming skills including multi-threading, concurrency, etc. Fluency in Java</li><li>
Solid understanding of the internals of Kubernetes, Mesos, OpenShift, or other container platforms</li><li>
Experience with scalable Key-Value stores such as FoundationDB, RocksDB/LevelDB, DynamoDB, Redis, etc. a plus.</li><li>
Track record of delivering highly complex projects in the distributed systems space</li><li>
Intense curiosity, willingness to question and passion for making systems better</li><li>
Experience with one or more of the following highly desired:<ul><li>
Big Data storage technologies and their applications (HDFS, Cassandra, Columnar Databases, etc.)</li><li>
Scalable Key-Value stores such as FoundationDB, RocksDB/LevelDB, DynamoDB, Redis, Cassandra, etc.</li></ul></li><li>
BS in Computer Science; Masters or PhD Preferred.</li></ul>
Snowflake is growing fast, and we&rsquo;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
The following represents the expected range of compensation for this role:<ul><li>
The estimated base salary range for this role is $236,000 - $339,250.</li><li>
Additionally, this role is eligible to participate in Snowflake&rsquo;s bonus and equity plan.</li></ul>
The successful candidate&rsquo;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 &amp; health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.</div></div>

Staff Software Engineer - FDB Platform

<div><div>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&rsquo;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 &mdash; 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.
Our team builds and operates Snowflake's Streaming Platform &mdash; the core infrastructure responsible for bringing data into Snowflake continuously and at scale. This includes Snowpipe Streaming and Datastream, services used by large set of enterprise customers to move mission-critical data in real time. Data is the fuel powering the new enterprise AI world, and we are the team responsible for getting it there reliably, continuously, and fast. 
Responsibilities<ul><li>
Design, build, and maintain core components of Snowflake's streaming ingestion platform</li><li>
Improve service reliability, scalability, and latency under high-throughput production workloads</li><li>
Debug and resolve incidents in a distributed, multi-tenant cloud service</li><li>
Contribute to the design and evolution of streaming APIs, SDKs, and server-side protocols</li><li>
Write comprehensive tests including unit, integration, and chaos/fault-injection scenarios</li><li>
Collaborate with partner teams (storage, query, compute) on cross-cutting platform concerns</li><li>
Participate in code reviews, on-call rotations, and architecture discussions</li></ul> 
Required Qualifications<ul><li>
3&ndash;5 years of software engineering experience on large-scale distributed systems or cloud services</li><li>
Strong proficiency in Java or C++</li><li>
Deep understanding of distributed systems concepts: consistency, fault tolerance, replication, and backpressure</li><li>
Experience building or operating high-throughput, low-latency services in production</li><li>
Strong debugging skills across the stack &mdash; from application logic to network and storage layers</li><li>
Familiarity with cloud infrastructure and multi-tenant service design</li></ul> 
Nice to Have<ul><li>
Experience building streaming or ingestion systems (Kafka, Kinesis, Flink, or similar)</li><li>
Familiarity with database internals &mdash; WAL, columnar storage, or transaction processing</li><li>
Experience with observability tooling at scale (distributed tracing, metrics pipelines)</li><li>
Prior work on a cloud-native SaaS platform (Snowflake, Databricks, Google BigQuery, etc.)</li></ul>
Snowflake is growing fast, and we&rsquo;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
The following represents the expected range of compensation for this role:<ul><li>
The estimated base salary range for this role is $160,000-$230,000.</li><li>
Additionally, this role is eligible to participate in Snowflake&rsquo;s bonus and equity plan.</li></ul>
The successful candidate&rsquo;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 &amp; health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.</div></div>

Senior Software Engineer - Snowflake Streaming

<div><div>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&rsquo;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 &mdash; 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.
This role requires in-person attendance in our Menlo Park, CA office at least 3 days per week.
We are looking for an Analytics Engineer to join our growing Finance Analytics Engineering team. In this role, you will drive value and empower decision-making by developing and maintaining the data infrastructure which fuels reporting and analysis for the Finance organization and has a direct impact on Snowflake&rsquo;s success as a company. As an Analytics Engineer, you will be responsible for the following:<ul><li>
Use SQL, Python, Snowflake, dbt, Airflow, and other systems while working within an agile development model to build and maintain data infrastructure for use in reporting, analysis, and automation</li><li>
Perform data QA and develop automated testing procedures for use with Snowflake data models</li><li>
Translate reporting, analysis, and automation requirements into data model requirements and specifications</li><li>
Work with IT and other technical stakeholders to source data from key business systems and Snowflake databases</li><li>
Architect flexible, performant data models that will support a wide range of use cases while driving the organization towards single sources of truth</li><li>
Provide input into data governance strategies and frameworks including permissions and security models, data lineage systems, and data definitions</li><li>
Meet regularly with Finance BI and technical leads to define requirements, formulate project plans, provide status updates, and perform user testing and QA</li><li>
Build and maintain user friendly documentation for data models and key metrics</li><li>
Identify weaknesses in processes, data, and systems, and drive organizational improvements within the Analytics Engineering team</li></ul>
What You Will Need
Required skills:<ul><li>
3+ years of experience working as an analytics, data, or BI engineer</li><li>
Advanced SQL skills with experience standardizing queries and building data infrastructure involving large-scale relational datasets</li><li>
Experience using Python to parse, structure, and transform data</li><li>
Experience with MPP databases such as Snowflake, Redshift, BigQuery, or other relevant technologies</li><li>
Ability to communicate in an effective and efficient manner while working with a wide range of stakeholders</li><li>
Ability to prioritize and execute tasks in a high-pressure, constantly changing environment</li><li>
Ability to think creatively to solve problems</li><li>
An impulse for introducing structure and simplicity into vague, complex problems</li><li>
An obsession for detail and quality</li><li>
An ability to identify weaknesses in data and process, and a willingness to drive improvement</li><li>
A bias for action</li></ul>
Preferred skills:<ul><li>
Experience with ERP and Financial Planning tools</li><li>
Experience using Python to parse, structure, and transform data</li><li>
Experience working with CI/CD pipelines</li><li>
Experience leading or working within a scrum, sprint, or other agile framework</li><li>
Past experience supporting product or product finance stakeholders</li><li>
Experience working with cost attribution models for SaaS products and tying products out to CSP cost reports</li><li>
Familiarity with cloud cost management and understanding of cost structures in cloud environments (e.g. FOCUS Framework)</li><li>
Demonstrated experience in cloud computing platforms (e.g., AWS, Azure, Google Cloud)</li></ul>
Snowflake is growing fast, and we&rsquo;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?
Snowflake is growing fast, and we&rsquo;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
The following represents the expected range of compensation for this role:<ul><li>
The estimated base salary range for this role is $132,000 - $173,000.</li><li>
Additionally, this role is eligible to participate in Snowflake&rsquo;s bonus and equity plan.</li></ul>
The successful candidate&rsquo;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 &amp; health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.</div></div>

Analytics Engineer

<div><div>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&rsquo;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 &mdash; 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.
As a Principal Engineer on the Data Platform team, you will be a technical anchor &mdash; setting direction, solving the hardest engineering problems, and elevating the entire team. You will work at the intersection of systems design, long-term architecture, and real-world engineering execution. In this specific role, you will lead the evolution of our declarative data pipelines, focusing on streaming ingestion and transformations.<div>
WHAT YOU'LL DO</div><ul><li>
Drive the technical strategy and architecture for key Data Platform initiatives, focusing heavily on real-time data movement and incremental processing.</li><li>
Lead design reviews and set engineering standards across teams.</li><li>
Identify and resolve high-impact technical challenges and systemic bottlenecks to reduce latency and improve the efficiency of dynamic tables at cloud scale.</li><li>
Mentor and grow senior engineers; raise the engineering bar.</li><li>
Partner closely with product and infrastructure leadership on roadmap and direction.</li><li>
Continuous hands-on technical deliverables in the most critical areas.</li></ul><div>
WHAT WE'RE LOOKING FOR</div><ul><li>
14+ years of software engineering experience with deep expertise in distributed systems.</li><li>
Demonstrated track record of defining and delivering platform-scale technical initiatives.</li><li>
Expert-level knowledge of streaming and/or batch data systems (Flink, Spark, or equivalent), with specialized knowledge in incremental materialization algorithms.</li><li>
Strong systems thinking &mdash; ability to reason across layers of complexity (infra, storage, compute, API).</li><li>
A passion for engaging directly with customers to gain insight and inspiration</li><li>
Experience influencing technical direction across organizations</li><li>
Excellent written and verbal communication for technical and executive audiences.</li></ul><div>
DESIRABLE</div><ul><li>
Experience with AI-augmented development practices and integrating LLM-based tooling into engineering workflows.</li><li>
Familiarity with Snowflake platform internals or cloud-native data systems.</li><li>
Experience with metadata systems, query optimization, or data catalog infrastructure.</li><li>
Contributions to open source, such as top-level Apache projects</li></ul>
Snowflake is growing fast, and we&rsquo;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</div></div>

Principal Software Engineer II, Data Platform (Streaming, Dynamic Tables and more)

<div><div>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&rsquo;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 &mdash; 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.
Imagine you are part of a team of talented software engineers to shape the future of Snowflake&rsquo;s AI Data Cloud. We&rsquo;re looking for talented and driven software engineers that are passionate about pushing the boundaries of speed and scale. We keep a high bar in engineering as we want to release new versions of Snowflake at fast cadence to all our customers across the globe.
If this resonates with you, read on and apply!
Our mission is to provide low-latency and highly consistent access to Snowflake&rsquo;s metadata in a secure way. We keep data safe through geo replication and offer immutable snapshots over long periods of time. Most prominently, we build high-scale APIs that power different types of workload from analytics warehouse and Unistore up to AI and container functions. Almost any internal service interfaces with Metadata APIs. Therefore, our services run at a large scale, supporting trillions of requests per day. Additionally, we own the representation of Metadata to users through the means of Infoschema, SHOW commands and Snowflake APIs.
Link to article about Metadata team<div>
AS A SOFTWARE ENGINEER - METADATA, YOU WILL:</div><ul><li>
Solve real business needs at large scale by applying your software engineering and analytical problem solving skills.</li><li>
Design, develop, and support a highly-parallel and fault-tolerant database system including a decentralized caching system of terabytes of metadata.</li><li>
Design and implement core infrastructure features including APIs, DDL transactions and logs as well as advanced features built on top of the metadata, such as cloning, time travel and snapshots.</li><li>
Analyze and understand performance and scalability bottlenecks in the system and solve them.</li><li>
Ensure operational readiness of the services and meet the commitments to our customers regarding availability and performance.</li></ul>
We are looking for strong system engineers who are interested in solving some of the most challenging problems in distributed systems, performance and scalability, and passionate about building system software with high quality.<div></div><div>
OUR IDEAL SOFTWARE ENGINEER WILL HAVE:</div><ul><li>
2+ years industry experience designing, building and supporting large scale systems in production.</li><li>
Strong computer science fundamentals including data structures, algorithms, and distributed systems.</li><li>
Systems programming skills including concurrency, consistency, caching, etc. Fluency in Java (or other similar procedural object-oriented language) is preferred.</li><li>
Broad experience with identifying and implementing creative solutions to real customer problems.</li><li>
Knowledge of database internals is a big plus.</li><li>
BS in Computer Science; Masters or PhD Preferred.</li></ul>
Snowflake is growing fast, and we&rsquo;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?
Snowflake is growing fast, and we&rsquo;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</div></div>

Software Engineer Metadata

<div>
 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&rsquo;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 &mdash; 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.
 
 
 Imagine you are part of a team of talented software engineers to shape the future of Snowflake&rsquo;s AI Data Cloud. We&rsquo;re looking for talented and driven software engineers that are passionate about pushing the boundaries of speed and scale. We keep a high bar in engineering as we want to release new versions of Snowflake at fast cadence to all our customers across the globe.
 
 
 If this resonates with you, read on and apply!
 
 
 Our mission is to provide low-latency and highly consistent access to Snowflake&rsquo;s metadata in a secure way. We keep data safe through geo replication and offer immutable snapshots over long periods of time. Most prominently, we build high-scale APIs that power different types of workload from analytics warehouse and Unistore up to AI and container functions. Almost any internal service interfaces with Metadata APIs. Therefore, our services run at a large scale, supporting trillions of requests per day. Additionally, we own the representation of Metadata to users through the means of Infoschema, SHOW commands and Snowflake APIs.
 
 
 Link to article about Metadata team
 
 
 
 AS A SOFTWARE ENGINEER - METADATA, YOU WILL:
 
 
 
 <ul>
 <li>
 Solve real business needs at large scale by applying your software engineering and analytical problem solving skills.
 </li>
 <li>
 Design, develop, and support a highly-parallel and fault-tolerant database system including a decentralized caching system of terabytes of metadata.
 </li>
 <li>
 Design and implement core infrastructure features including APIs, DDL transactions and logs as well as advanced features built on top of the metadata, such as cloning, time travel and snapshots.
 </li>
 <li>
 Analyze and understand performance and scalability bottlenecks in the system and solve them.
 </li>
 <li>
 Ensure operational readiness of the services and meet the commitments to our customers regarding availability and performance.
 
 
 
 </li>
 </ul>
 We are looking for strong system engineers who are interested in solving some of the most challenging problems in distributed systems, performance and scalability, and passionate about building system software with high quality.
 
 
 
 OUR IDEAL SOFTWARE ENGINEER WILL HAVE:
 
 
 
 <ul>
 <li>
 2+ years industry experience designing, building and supporting large scale systems in production.
 </li>
 <li>
 Strong computer science fundamentals including data structures, algorithms, and distributed systems.
 </li>
 <li>
 Systems programming skills including concurrency, consistency, caching, etc. Fluency in Java (or other similar procedural object-oriented language) is preferred.
 </li>
 <li>
 Broad experience with identifying and implementing creative solutions to real customer problems.
 </li>
 <li>
 Knowledge of database internals is a big plus.
 </li>
 <li>
 BS in Computer Science; Masters or PhD Preferred.
 
 
 
 </li>
 </ul>
 Snowflake is growing fast, and we&rsquo;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?
 
 
 Snowflake is growing fast, and we&rsquo;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
</div>

<div><div>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&rsquo;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 &mdash; 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.<div>
ABOUT THE ROLE</div>
We are looking for talented Software Engineers to join our Data Platform team. You will design, build, and operate large-scale distributed data systems that power Snowflake's core platform. This role is open to both new college graduates (MSc/PhD) and early career professionals.<div>
WHAT YOU'LL DO</div><ul><li>
Design and implement scalable, high-throughput data processing systems</li><li>
Build and maintain real-time and batch data pipelines</li><li>
Collaborate cross-functionally with product, infrastructure, and data science teams</li><li>
Contribute to architectural decisions and technical roadmaps</li><li>
Write clean, tested, production-quality code at scale</li></ul><div>
WHAT WE'RE LOOKING FOR</div>
Required:<ul><li>
BS/MS/PhD in Computer Science, Engineering, or related field (or equivalent experience)</li><li>
Strong foundation in distributed systems, algorithms, and data structures</li><li>
Proficiency in Java, Scala, Python, or C++</li><li>
Experience with large-scale data systems or cloud platforms</li></ul>
Strongly Desirable:<ul><li>
Experience with Apache Flink and/or Apache Spark for stream or batch processing</li><li>
Familiarity with AI-augmented software development practices &mdash; using LLMs/Copilot tools to accelerate engineering workflows, prototype solutions, and improve code quality</li><li>
Experience with Kafka, data lakehouse architectures, or SQL engines</li></ul>
Snowflake is growing fast, and we&rsquo;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</div></div>

Software Engineer, Data Transformation

Join Snowflake and explore 13   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Snowflake

About Company

Staff Software Engineer - FDB Platform

Senior Software Engineer - Snowflake Streaming

Analytics Engineer

Principal Software Engineer II, Data Platform (Streaming, Dynamic Tables and more)

Software Engineer Metadata

Software Engineer Metadata

Software Engineer, Data Transformation