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Software Engineer, Data Infrastructure

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Figma

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Location:
United States, San Francisco ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

149000.00 - 350000.00 USD / Year
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Job Description:

The Data Infrastructure team at Figma builds and operates the foundational platforms that power analytics, AI, and data-driven decision-making across the company. We serve a diverse set of stakeholders, including AI Researchers, Machine Learning Engineers, Data Scientists, Product Engineers, and business teams that rely on data for insights and strategy. Our team owns and scales critical data platforms such as the Snowflake data warehouse, ML Datalake, and large-scale data movement and processing applications, managing all data flowing into and out of these platforms.

Job Responsibility:

  • Design and build large-scale distributed data systems that power analytics, AI/ML, and business intelligence
  • Develop batch and streaming solutions to ensure data is reliable, efficient, and scalable across the company
  • Manage data ingestion, movement, and processing through core platforms like Snowflake, our ML Datalake, and real-time streaming systems
  • Improve data reliability, consistency, and performance, ensuring high-quality data for engineering, research, and business stakeholders
  • Collaborate with AI researchers, data scientists, product engineers, and business teams to understand data needs and build scalable solutions
  • Drive technical decisions and best practices for data ingestion, orchestration, processing, and storage

Requirements:

  • 5+ years of Software Engineering experience, specifically in backend or infrastructure engineering
  • Experience designing and building distributed data infrastructure at scale
  • Strong expertise in batch and streaming data processing technologies such as Spark, Flink, Kafka, or Airflow/Dagster
  • A proven track record of impact-driven problem-solving in a fast-paced environment
  • A strong sense of engineering excellence, with a focus on high-quality, reliable, and performant systems
  • Excellent technical communication skills, with experience working across both technical and non-technical counterparts
  • Experience mentoring and supporting engineers, fostering a culture of learning and technical excellence

Nice to have:

  • Experience with data governance, access control, and cost optimization strategies for large-scale data platforms
  • Familiarity with our stack, including Golang, Python, SQL, frameworks such as dbt, and technologies like Spark, Kafka, Snowflake, and Dagster
  • Experience designing data infrastructure for AI/ML pipelines
  • The ability to navigate ambiguity, take ownership, and drive projects from inception to execution
What we offer:
  • equity
  • health, dental & vision
  • retirement with company contribution
  • parental leave & reproductive or family planning support
  • mental health & wellness benefits
  • generous PTO
  • company recharge days
  • a learning & development stipend
  • a work from home stipend
  • cell phone reimbursement
  • annual bonus plan for eligible non-sales roles

Additional Information:

Job Posted:
December 08, 2025

Employment Type:
Fulltime
Work Type:
On-site work
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