Why This Job is Featured on The SaaS Jobs
Data engineering roles are foundational in SaaS businesses where product usage, billing signals, and customer behavior are captured as event streams and APIs rather than static datasets. This posting stands out because it sits on a data platform team and explicitly connects internal data infrastructure to how a cloud software company understands adoption and informs product and executive reporting. The in office expectation also signals close partnership with cross functional stakeholders, a common pattern in larger SaaS organizations.
For a SaaS career, the long term value is in building repeatable data products that serve many teams at once. Work that spans ingestion from application APIs, scalable pipelines, and stakeholder facing analytics tends to develop strong instincts around reliability, governance, and metrics definitions, all of which transfer across SaaS companies and stages. The emphasis on supporting product decisions and board level questions also builds fluency in translating technical outputs into business narratives.
This role suits an early career data engineer who prefers ownership of core pipelines and enjoys ambiguity in data modeling and requirements. It will fit someone who likes frequent collaboration with data science, product, finance, and compliance, and who is motivated by building internal platforms rather than one off analyses.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
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.
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)
IN THIS ROLE YOU WILL:
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 YOU WILL NEED:
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
