Senior Data Engineer (Snowflake)

TL;DR

Senior Data Engineer (Snowflake/Python): Building and owning key data infrastructure to manage data and usage across the Snowflake account with an accent on custom data ingestion pipelines and scalable data products. Focus on designing complex ETL pipelines, collaborating with cross-functional teams, and optimizing data systems for executive reporting.

Location: Menlo Park, CA (Must be in-office 3 days a week)

Compensation Range: $156,000 - $204,700

Company

Snowflake is powering the era of the agentic enterprise, reinventing how work gets done through AI-native thinking and high-scale data solutions.

What you will do

• Design, build, and own key data infrastructure to manage data and usage across the Snowflake account.
• Develop custom data ingestion pipelines sourcing data from application APIs.
• Interface with data scientists and product managers to build scalable data products and tools.
• Collaborate with Engineering, Product, IT, Finance, and Compliance to inform product decision making.
• Prepare data-driven insights for executive board reporting, publications, and industry reports.

Requirements

• 3-5 years of experience designing and building complex data pipelines in large-scale environments.
• Proficiency in Python and SQL.
• Experience with ETL and sourcing data from various sources.
• BS in a technical field (CS, Physics, Math, etc.); MS/PhD is a plus.
• Must be based in or able to work from Menlo Park, CA (3 days/week in-office).

Nice to have

• Experience with Apache Airflow.
• Prior experience using Snowflake.

Culture & Benefits

• Dynamic, fast-moving environment with an experimental mindset.
• AI-native culture treating AI as a high-trust collaborator to accelerate impact.
• Opportunity to shape the future of Snowflake products and services.
• Low-ego environment that encourages challenging ordinary thinking and innovation.