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Summary

Data Engineer role at Figma focused on building and scaling data pipelines that serve cross-functional teams including Data Science, sales, marketing, and finance. This position is critical to enabling self-serve analytics and supporting Figma's growth through reliable, well-documented data infrastructure.

Key Responsibilities: Own and maintain scalable data pipelines connecting cloud data sources, develop deep understanding of Figma's data models and optimize for scale, and partner with Data Science and Infrastructure teams to build trusted foundational datasets. Work with cross-functional stakeholders to derive requirements, architect shared datasets, and establish best practices for analytics and modeling.
Skills & Tools: Fluency in SQL and Python with hands-on experience in Snowflake, dbt, Dagster, and ETL/reverse ETL tools. Strong problem-solving abilities, excellent communication and collaboration skills, and experience with data modeling methodologies to design robust data architectures.
Qualifications: 4+ years of experience in a relevant field with demonstrated expertise in data engineering and pipeline development. Knowledge of business systems such as Salesforce, Customer IO, Stripe, and NetSuite is preferred.
Location: San Francisco, California or New York, New York, United States
Compensation: Not provided by employer. Typical compensation for this role is $160,000 – $220,000/year based on title, seniority, and location.

Job Description

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 loves solving problems. You’ll have a good sense for when it makes sense to build fast, scrappy solutions 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 takes pride in building end-to-end projects.


What you'll do at Figma:

  • Own, build, and maintain scalable data pipelines that connect various cloud data sources.
  • Develop a deep understanding of Figma’s core data models 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 derive requirements and architect shared datasets; ability to document, simplify and explain complex problems to different types of audiences.
  • Establish best practices for the development of specialized data sets for analytics and modeling. 

We'd love to hear from you if you have:

  • 4+ years in a relevant field
  • Fluency with both SQL and Python
  • Familiarity with Snowflake, dbt, Dagster, and ETL/reverse ETL tools.
  • Excellent judgment and creative problem solving skills
  • A self-starting mindset along with strong communication and collaboration skills

While not required, it’s an added plus if you also have:

  • Knowledge in data modeling methodologies to design and build robust data architectures for insightful analytics
  • Experience with business systems such as Salesforce, Customer IO, Stripe, NetSuite is a big plus.

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

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