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Snowflake Event Jobs (NOW HIRING)

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek ... Familiarity with streaming architectures, event-driven systems, and async processing. * Experience ...

Meet with the Marketing Industry Principal to align on the "Travel & Hospitality" keynote messaging for an upcoming regional Snowflake Data Cloud World Tour event. * Afternoon: Conduct an enablement ...

Summary Role: Snowflake Data Engineer Location: Baltimore, MD (Onsite 5 Day week) Duration ... Familiarity with real-time streaming and event-driven architectures. Sapna B Senior Manager Sales ...

Sales Engineer, Observe

Menlo Park, CA · On-site

$165K - $216K/yr

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek ... Ability to travel to client sites and industry events as required. QUALIFICATIONS: Bachelor ...

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek ... events, customer summits, and other external forums * Identify and prioritize external speaking ...

Staff Escalation Manager

Menlo Park, CA · On-site +1

$140K - $183K/yr

... events * Effectively prioritize all related escalation tasks independently * Collaborate with Snowflake on-call engineers, and monitor online activity data for multiple Snowflake Services to identify ...

Staff Escalation Manager

Dublin, CA

$46K - $64K/yr

... events * Effectively prioritize all related escalation tasks independently * Collaborate with Snowflake on-call engineers, and monitor online activity data for multiple Snowflake Services to identify ...

Snowflake Data Cloud Architect

New York, NY

$69.75 - $89.75/hr

Enable Event-Driven Integration: * Build ingestion pipelines leveraging Kafka, Azure Event Hub, or ... Snowflake architecture (warehouses, streams, tasks, Snowpark).SQL, Python; experience with DBT.

Sr. Enterprise Data & AI Architect

Denver, CO · On-site

$69.25 - $92.75/hr

... Snowflake at industry events, executive briefings, and strategic forums. • Help customers shape AI investment strategies using ROI frameworks and TCO/business case analysis. • Mentor, and develop ...

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How much do snowflake event jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for snowflake event in the United States is $20.60, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $23.56 per hour, depending on experience, location, and employer.

What is the difference between Snowflake Event vs Snowflake Data Engineer?

AspectSnowflake EventSnowflake Data Engineer
Primary RoleAutomates and manages event-driven data workflows in SnowflakeDesigns, develops, and maintains data pipelines and architectures in Snowflake
Required SkillsKnowledge of Snowflake tasks, streams, and event handling; scripting; cloud integrationsSQL, data modeling, ETL/ELT processes, Snowflake architecture, scripting
Work EnvironmentData operations, automation teams, cloud platformsData engineering teams, analytics, data warehouses
CertificationsSnowPro Certification, cloud platform certificationsSnowPro Certification, data engineering certifications

Snowflake Event specialists focus on automating data workflows through event-driven processes within Snowflake, while Snowflake Data Engineers build and optimize data pipelines and architectures. Both roles require Snowflake certifications and cloud knowledge but differ in their core responsibilities and daily tasks.

Software Engineer - SnowConvert AI

Software Engineer - SnowConvert AI

Snowflake

Menlo Park, CA • On-site

$160K - $230K/yr

Full-time

Posted 20 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.
Snowflake redefined the data landscape over a decade ago by building the AI Data Cloud-delivering industry-leading performance and price at scale across data engineering, analytics, and AI/ML workloads. Every day, new customers begin their journey to Snowflake, but migrating existing data and applications from legacy platforms remains a complex, high-effort challenge. Customers must adapt their entire ecosystem-data, database code, ETL pipelines, and consuming applications-to fully realize Snowflake's value. The Migrations organization serves as the catalyst for this modernization, building solutions that enable customers and partners to migrate efficiently and with less risk. Within this charter, the SnowConvert AI team delivers an AI-driven migration product that moves data-centric applications to Snowflake an order of magnitude faster than industry norms. SnowConvert goes beyond schema and SQL translation, seamlessly migrating data, code, ETL pipelines, and BI tools by combining AI-based conversion with rigorous execution-level validation, ensuring that migrated systems are not only syntactically correct, but semantically equivalent to their source and production-ready on the Snowflake AI Data Cloud
RESPONSIBILITIES:
  • The team develops fundamental code conversion techniques, robust data migration and validation pipelines, and automatic testing components. These capabilities are then leveraged by automated AI agents that process a complete application migration to Snowflake.
  • Develop the foundations that AI agents rely on for fast, consistent code conversion
  • This development team sits at the center of the original SnowConvert team, AI team, FDE to deliver the architecture below.
  • Careful API design is a must for an ever-changing landscape of AI capabilities.
  • Iterating with the FDE team enables quick feedback to prototypes, early products.

OUR IDEAL SOFTWARE ENGINEER WILL HAVE:
  • Strong software engineering experience in Python, with a focus on performance, reliability, and distributed systems.
  • Hands-on experience building agentic AI applications, especially in domains such as computer control or code gen.
  • Track record of contributions to open-source agentic frameworks such as LangChain, AutoGen, etc.
  • Deep understanding of distributed systems, API design, and backend architectures.
  • High agency-ability to take ownership, navigate ambiguity, and independently push projects forward.

STRONGLY DESIRED:
  • Experience with GoLang for high-performance backend services.
  • Strong understanding of big data transformation, ETL, and ELT pipelines.
  • Proficiency in Spark, Airflow, dbt, Kafka or other data engineering tools.
  • Familiarity with streaming architectures, event-driven systems, and async processing.
  • Experience optimizing large-scale data pipelines for performance and cost efficiency.
  • Former founding engineers who have built and owned significant technical projects are highly valued.

Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
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