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 Senior 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 able to be in-office 3 days a week)
RESPONSIBILITIES OF A SENIOR DATA ENGINEER AT SNOWFLAKE INCLUDE: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
3-5 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
Experience with Apache Airflow is desirable
Experience using Snowflake a plus
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.
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
Skills Required
- 3-5 years experience designing and building complex data pipelines in large-scale environments
- Experience developing data products to drive data science and analytics initiatives
- Experience with ETL and sourcing data from various sources
- Experience with Apache Airflow
- Experience using Snowflake
- BS in a technical field (CS, Physics, Math, etc.)
- MS/PhD
- Proficiency in Python
- Proficiency in SQL
- Ability to clearly present learnings to business leaders and technical stakeholders
- Must be able to be in-office in Menlo Park 3 days a week
- Adhere to company confidentiality and data security standards
Snowflake Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.
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Equity Value & Accessibility — Equity grants (RSUs) and an ESPP are central to total compensation and are described as highly valuable. Feedback suggests many see equity as a major satisfaction driver with meaningful upside potential.
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Fair & Transparent Compensation — Pay is considered competitive and accompanied by clear communication on salary, equity, and advancement. Feedback suggests pay practices emphasize fairness and transparency.
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Parental & Family Support — Paid parental leave, fertility benefits, adoption assistance, and family planning resources are notably comprehensive. Feedback suggests these programs materially support major life events.
Snowflake Insights
What We Do
Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.
Why Work With Us
Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.
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