XX
Senior Data EngineerSnowflakeUnited States
XX

Senior Data Engineer

Snowflake
  • US
    United States
  • US
    United States

About

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
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 scale 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
Our Ideal Candidate Will Have
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 is 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, being flexible and willing to jump in and do whatever it takes to be successful
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.
Salaries and Benefits The estimated base salary range for this role is $156,000 - $204,700. Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.
This role is also eligible for a competitive benefits package that includes medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
#J-18808-Ljbffr
  • United States

Languages

  • English
Notice for Users

This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.