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Snowflake Jobs in Seattle, WA (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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Snowflake information

See Seattle, WA salary details

$40

$76

$96

How much do snowflake jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for snowflake in Seattle, WA is $76.94, according to ZipRecruiter salary data. Most workers in this role earn between $68.12 and $87.26 per hour, depending on experience, location, and employer.

What are some common challenges faced by Snowflake professionals, and how can they be addressed?

Snowflake professionals often encounter challenges such as optimizing query performance, managing data security and access controls, and integrating Snowflake with multiple data sources. Addressing these challenges requires continuous learning about the platform’s evolving features, proactively monitoring query and storage usage, and collaborating closely with data architects, DevOps, and IT security teams. Staying up to date with best practices and regularly attending Snowflake community webinars or training can also be extremely helpful. Most companies encourage knowledge sharing and collaboration, so being proactive in problem-solving will help you thrive in this role.

Is Snowflake a good career?

A career as a Snowflake professional typically involves working with cloud data platforms, data warehousing, and SQL skills. It offers opportunities in data engineering, analytics, and cloud computing, with demand driven by the growth of data-driven decision making. Certifications and experience with cloud environments can enhance job prospects in this field.

What is a Snowflake job?

A Snowflake job typically refers to tasks executed within Snowflake, a cloud-based data platform. These jobs can include data loading, transformation, querying, or scheduled tasks using Snowflake's task and stream features. They help automate data workflows, improve performance, and ensure efficient data management within the Snowflake ecosystem.

How much do Snowflake employees make?

Salaries for Snowflake employees vary by role, experience, and location, but the average base salary ranges from approximately $100,000 to $150,000 annually for many positions. Technical roles such as data engineers and software engineers tend to be higher, often exceeding $120,000, with additional compensation like bonuses and stock options common in the company’s compensation packages.

Is Snowflake skill in demand?

Snowflake skills are highly in demand as organizations increasingly adopt cloud data warehousing solutions. Professionals with expertise in Snowflake, along with knowledge of SQL and data management, often find strong job opportunities across various industries.

How hard is it to get a job at Snowflake?

Getting a job as a Snowflake professional typically requires relevant technical skills such as data warehousing, SQL, and cloud platforms, along with experience in data management or analytics. The hiring process often involves multiple interview rounds assessing technical knowledge, problem-solving ability, and cultural fit, making it competitive but achievable with proper preparation.

What are the key skills and qualifications needed to thrive in the Snowflake position, and why are they important?

To thrive as a Snowflake professional (such as a Snowflake Data Engineer or Administrator), you need a solid understanding of cloud data warehousing, SQL, and data modeling, typically supported by a degree in computer science or related fields. Experience with the Snowflake platform, data integration tools (like Informatica or Talend), and relevant certifications such as SnowPro are highly valuable. Strong problem-solving abilities, communication skills, and adaptability help professionals translate business requirements into data solutions and work effectively with cross-functional teams. These competencies are crucial for optimizing data workflows, ensuring system performance, and supporting the data-driven goals of an organization.

What are the most commonly searched types of Snowflake jobs in Seattle, WA? The most popular types of Snowflake jobs in Seattle, WA are:
What job categories do people searching Snowflake jobs in Seattle, WA look for? The top searched job categories for Snowflake jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Snowflake jobs? Cities near Seattle, WA with the most Snowflake job openings:
Infographic showing various Snowflake job openings in Seattle, WA as of July 2026, with employment types broken down into 88% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $160,030 per year, or $76.9 per hour.
Senior Software Engineer - Snowflake Streaming

Senior Software Engineer - Snowflake Streaming

Snowflake

Bellevue, WA • On-site

$200K - $287K/yr

Full-time

Posted 25 days ago


Job 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.
Our team builds and operates Snowflake's Streaming Platform - 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
  • Design, build, and maintain core components of Snowflake's streaming ingestion platform
  • Improve service reliability, scalability, and latency under high-throughput production workloads
  • Debug and resolve incidents in a distributed, multi-tenant cloud service
  • Contribute to the design and evolution of streaming APIs, SDKs, and server-side protocols
  • Write comprehensive tests including unit, integration, and chaos/fault-injection scenarios
  • Collaborate with partner teams (storage, query, compute) on cross-cutting platform concerns
  • Participate in code reviews, on-call rotations, and architecture discussions

Required Qualifications
  • 3-5 years of software engineering experience on large-scale distributed systems or cloud services
  • Strong proficiency in Java or C++
  • Deep understanding of distributed systems concepts: consistency, fault tolerance, replication, and backpressure
  • Experience building or operating high-throughput, low-latency services in production
  • Strong debugging skills across the stack - from application logic to network and storage layers
  • Familiarity with cloud infrastructure and multi-tenant service design

Nice to Have
  • Experience building streaming or ingestion systems (Kafka, Kinesis, Flink, or similar)
  • Familiarity with database internals - WAL, columnar storage, or transaction processing
  • Experience with observability tooling at scale (distributed tracing, metrics pipelines)
  • Prior work on a cloud-native SaaS platform (Snowflake, Databricks, Google BigQuery, etc.)

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