Data Engineer
Posted on 8/21/2023
INACTIVE
Web-based collaborative platform for product design
Company Overview
Figma stands out as an exemplary workplace due to its commitment to fostering a collaborative culture, its unique competitive advantage in consolidating design tools and workflows, and its industry leadership in web-based design platforms. The company's technical innovation is evident in products like FigJam, an online whiteboard that enhances team collaboration, demonstrating their dedication to improving efficiency and communication in product development. Figma's ability to simplify complex processes and facilitate teamwork across different time zones positions it as a leader in the design industry, making it an exciting and rewarding place to work.
Company Stage
M&A
Total Funding
$20.3B
Founded
2012
Headquarters
San Francisco, California
Growth & Insights
Headcount
6 month growth
↑ 73%1 year growth
↑ 288%2 year growth
↑ 1125%Locations
Seattle, WA, USA • San Francisco, CA, USA • Remote in USA • New York, NY...
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Data Science
Snowflake
SQL
Python
CategoriesNew
Data & Analytics
Requirements
- 3+ years in a relevant field
- Fluency with both SQL and Python
- Familiarity with Snowflake, dbt, and ETL/reverse ETL tools
- Excellent judgment and creative problem solving skills
- A self-starting mindset along with strong communication and collaboration skills
- Https://www.figma.com/blog/cross-functional-data-science-user-research-figma/
- Https://www.figma.com/blog/how-we-use-data/
- Https://www.figma.com/blog/from-experiment-to-launch-how-data-shaped-a-new-comments-experience/
Responsibilities
- 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 build solutions to address their data needs
- Establish best practices for the development of specialized data sets for analytics and modeling