Data Engineer - Finance

We are looking for an experienced Data Engineer to partner with our Data Science and Data Infrastructure teams to own and scale our data pipelines. You'll also work closely with stakeholders across business teams including sales, marketing, and finance to ensure that the data they need arrives promptly and reliably. You'll play an integral role in building the metrics and self-serve reporting capabilities to unlock Figma's next phase of growth.
This is a great role for an individual who is passionate about working with data and data systems, and who love s solving problems. You'll have a good sense for when it makes sense to build fast, scrappy solution s to unblock a key stakeholder vs. when to push back or bring in an outside service. The ideal candidate will be a great communicator who can help coordinate across multiple internal and external teams and take s pride in building end-to-end projects.
What You'll Be Doing :

• Own, build, and maintai n scalable data pipelines that connect various cloud data sources.
• Develop a deep understanding of Figma's core data model s and optimize data pipelines for scale.
• Partner with the Data Science and Data Infrastructure teams to build new foundational data sets that are trusted, well understood, and enable self-service .
• Work with a wide range of cross-functional stakeholders to build solutions to address their data needs.
• Establish best practices for the development of specialized data sets for analytics and modeling.

We're looking for someone with:

• 3+ years in a relevant field
• Fluency with both SQL and Python
• Familiarity with Snowflake, dbt, and ETL/reverse ETL tools.
• Understanding of CRM systems such as Salesforce is a big plus.
• Excellent judgment and creative problem solving skills
• A self-starting mindset along with strong communication and collaboration skills

Read more about our team:

• By the numbers: one year of remote work
• Measuring the value of design systems
• Figma's Series D: The Decade of Design
• Figma's engineering values