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Snowflake Jobs in California (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 ...

Manager, Real Estate

Dublin, CA · On-site

$180K - $236K/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 ...

Solution Engineer

San Mateo, CA · On-site

$138K - $181K/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 ...

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 ...

ClifyX is a company seeking a Snowflake DW Architect to design and implement effective analytics solutions. The role involves data modeling, ETL processes, and ensuring compliance with regulations ...

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 ...

Product Marketing Intern (Fall 2026)

Menlo Park, CA · On-site

$40 - $50/hr

  • Medical

  • Dental

  • Vision

  • Life

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 ...

Showing results 41-60

Snowflake information

See California salary details

$35

$66

$83

How much do snowflake jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for snowflake in California is $66.72, according to ZipRecruiter salary data. Most workers in this role earn between $59.09 and $75.67 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.

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 the most commonly searched types of Snowflake jobs in California?

The most popular types of Snowflake jobs in California are:

What job categories do people searching Snowflake jobs in California look for?

The top searched job categories for Snowflake jobs in California are:

What cities in California are hiring for Snowflake jobs?

Cities in California with the most Snowflake job openings:

Infographic showing various Snowflake job openings in California as of August 2026, with employment types broken down into 68% Full Time, and 32% Contract. Highlights an 84% In-person, 5% Hybrid, and 11% Remote job distribution, with an average salary of $138,779 per year, or $66.7 per hour.

Senior Software Engineer - Observe by Snowflake, Streaming Data Products

Snowflake

Menlo Park, CA • On-site

$144K - $190K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
Snowflake is a leading data platform company looking for AI-native thinkers to join their team. The Senior Software Engineer will own the streaming data product surface, responsible for data modeling and ensuring high-performance execution at scale for customer telemetry.
Responsibilities:
• Own the data modeling product surface — the APIs, schemas, and abstractions through which customers create tables, views, and materialized views that unify their telemetry for correlation and querying, designed for high-performance execution at scale
• Design the right abstractions for how customers create and manage queryable data — from streaming materialized views to reference tables to log-derived metrics — each serving different needs but composing under one coherent, evolvable model
• Define freshness and staleness semantics that let customers trust their materialized views are current, and design the controls to tune the trade-off between query latency and compute cost
• Design APIs with strong schema taste: versioning, backwards compatibility, polymorphic data models, and clean contracts between systems
• Drive requirements and shape the execution engine based on what the product surface needs
• Layer complexity so an SRE gets a useful table from opinionated defaults in minutes, while a data engineer can express multi-stage pipelines with custom joins, windowing, and time-based aggregations
• Lead a team technically — setting architectural direction, writing production code, and mentoring engineers
Qualifications:
Required:
• 5+ years of software engineering experience with deep expertise in databases, SQL, stream processing, or data pipeline systems
• Deep knowledge of data processing or streaming internals — late-arriving data, backfill and reprocessing on schema changes, event-time vs. processing-time semantics — with experience building products and applications on top of them
• Demonstrated experience designing and shipping APIs with strong taste in DB schema design, versioning, and developer ergonomics
• An architect's mental model — you think in systems, interfaces, contracts, and long-term evolution rather than short-term hacks
• A strong sense of user empathy and product intuition — you think beyond APIs and care about how customers define and query their data
• Proficiency in Go or another systems language, with ability to write production-grade distributed systems code
Preferred:
• Experience building customer-facing data modeling or pipeline authoring products
• Hands-on experience with streaming semantics in production: watermarks, windowing, ordering, delivery guarantees, late-arriving data
• Background in designing or extending query languages, schema DSLs, or transformation DAG semantics
• Prior work building internal data platforms that turned raw event streams into curated, queryable tables for internal teams
• Familiarity with Apache Iceberg, open table formats, or data lakehouse architectures
Company:
Snowflake is a cloud data platform that provides a data warehouse as a service designed for the cloud. Founded in 2012, the company is headquartered in San Mateo, USA, with a team of 5001-10000 employees. The company is currently Late Stage.