ZipRecruiter

Log In

1

Snowflake Jobs in Maple Valley, WA (NOW HIRING)

Snowflake

Principal Engineer

Bellevue, WA · On-site

$250K - $380K/yr

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 ...

Snowflake

Principal Product Manager - Snowpark

Bellevue, WA · On-site

$264K - $379K/yr

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 ...

Snowflake

Director, Execution Operations

Bellevue, WA · On-site

$226K - $297K/yr

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 ...

Snowflake

Senior Software Engineer - Capacity

Bellevue, WA · On-site

$200K - $287K/yr

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 ...

Snowflake

Workplace Coordinator

Bellevue, WA · On-site

$59K - $77K/yr

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 ...

DKMRBH Inc

Data Migration Test Analyst

Seattle, WA · On-site

$50 - $55/hr

Data Migration Test Analyst - Snowflake SQL Azure Location: Seattle, WA (Hybrid - Local Candidates Only) Important: This is not a traditional QA Automation, Manual QA, Selenium, Cypress, Playwright ...

previous pagenext page

Showing results 21-40

All JobsSnowflake JobsSnowflake Jobs in Maple Valley, WA

Snowflake information

See Maple Valley, WA salary details

$41

$78

$98

How much do snowflake jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for snowflake in Maple Valley, WA is $78.21, according to ZipRecruiter salary data. Most workers in this role earn between $69.23 and $88.70 per hour, depending on experience, location, and employer.

What is a Snowflake?

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.

What are the key skills and qualifications needed to thrive in the Snowflake position?

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 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.

Does Snowflake offer remote jobs?

Snowflake offers remote job opportunities for various roles, including data engineers, analysts, and software engineers. Many positions are fully remote or have flexible work arrangements, often requiring proficiency with cloud platforms and collaboration tools. Candidates should review specific job listings for location and remote work options.

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 continuous learning can enhance job prospects in this field.

What exactly does Snowflake do?

A Snowflake professional typically works with the Snowflake data platform, which is a cloud-based data warehousing service. They manage data integration, optimize queries, and ensure data security within the platform, often using SQL and cloud infrastructure skills. The role involves supporting data analytics and business intelligence initiatives.

What cities near Maple Valley, WA are hiring for Snowflake jobs?

Cities near Maple Valley, WA with the most Snowflake job openings:

Snowflake jobs near you
Infographic showing various Snowflake job openings in Maple Valley, WA as of August 2026, with employment types broken down into 51% Full Time, and 49% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $162,680 per year, or $78.2 per hour.

Intermediate/ Senior Software Engineer - Cortex LLM Training Platform

Snowflake

Bellevue, WA • On-site

$200K - $287K/yr

Full-time

Re-posted 25 days ago

Key responsibilities

  • Design and build full-stack components including training APIs, SDKs, control plane, and GPU data plane.

  • Scale distributed systems to enable serverless GPU compute with multi-tenant scheduling, placement, and fault tolerance.

  • Ensure high performance and responsiveness of training, inference, and reinforcement learning loops under heavy load.

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.
Senior Software Engineer - Cortex Training
The Snowflake ML Platform team's mission is to let customers run their most demanding ML/AI workloads inside Snowflake. Cortex Training is our LLM post-training platform: it turns scarce, expensive GPU capacity into a simple, composable service, so customers can adapt open-weight foundation models to their own business problems while we handle the hard distributed-systems parts, including scheduling, orchestration, multi-node training and inference, fault tolerance, and throughput.
The platform already runs post-training at scale. Under the hood, it decouples GPU computation from the training loop and exposes it as primitive APIs that compose into everything from SFT to full RL workflows. You'll work alongside a team that ships fast & sweats reliability and the researchers behind DeepSpeed. We're looking for an engineer who thrives in the ML infrastructure layer and brings a solid understanding of LLMs and post-training to help us scale and grow it.
YOU WILL:
  • Design and build across the full stack - from the public training APIs and SDK through the control plane to the GPU data plane.
  • Scale the distributed systems that make GPU compute serverless - multi-tenant scheduling, placement, and capacity-aware routing across regional GPU pools, with fault tolerance built in.
  • Drive end-to-end performance at scale - keep the training, inference, and RL loops fast and the data plane responsive under heavy concurrent load, with GPUs kept saturated.
  • Productionize research building blocks - partner with Snowflake Research to turn state-of-the-art training and inference techniques into reliable, composable components customers can run at enterprise scale.
QUALIFICATIONS:
  • 3 + years (Intermediate) | 6+ years (Senior) building and shipping production ML systems
  • Strong distributed systems and infrastructure foundation - designing scalable, fault-tolerant services and operating them on Kubernetes in production.
  • Familiarity with GPU and LLM infrastructure - e.g., PyTorch, DeepSpeed/FSDP, Ray, CUDA/NCCL, vLLM; able to debug across the data, infrastructure, and GPU layers.
  • Demonstrated ability to harden complex systems for reliability, throughput, and cost efficiency.
  • BS in Computer Science or a related field (MS/PhD a plus).
  • (Bonus) Hands-on LLM post-training / modeling experience - the strongest candidates pair deep infra skills with real post-training intuition.

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

Apply