Data Engineer

Snowflake • Menlo Park, CA

2d • Hybrid

About The Position

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.
We’re looking for a talented Data Engineer for our Data Platform team. In this role, you will work closely with various data science, analytics and engineering teams across the company to build best in class data infrastructure and tools. This is a high-impact role that will also help shape the future of Snowflake products and services.
Location: Menlo Park (MUST be in-office 3 days week)

Requirements

• 1-3 years experience including:
• Designing and building complex data pipelines in a large scale data environment
• Familiarity with developing data products to drive data science and analytics initiatives
• Experience with ETL and sourcing data from various sources
• BS in a technical field (CS, Physics, Math, etc), MS/PhD a plus.
• Proficiency in Python & SQL
• Ability to clearly present learnings to business leaders and technical stakeholders
• The ability to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful.

Nice To Haves

• Experience with Apache Airflow is desirable
• Experience using Snowflake a plus

Responsibilities

• Design, build, and own the key data infrastructure to manage data and usage across our Snowflake account
• Interface with data scientists, product managers, and business stakeholders to understand data needs and help build data products and tools that scales across the company
• Design, implement and maintain custom data ingestion pipelines sourcing data from application apis.
• Collaborate closely with Engineering, Product Management, IT, Finance, and Compliance to inform product decision making with data and to identify opportunities for system improvements.
• Answer questions from the executive team for board reporting, publications, and industry reports
• Think creatively to find optimal solutions to our complex, often unstructured & ambiguous problems

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 1,001-5,000 employees