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Software Engineer, Data Infrastructure

Job in New York, New York County, New York, 10261, USA
Listing for: Figma
Full Time position
Listed on 2026-06-18
Job specializations:
  • Software Development
    Cloud Engineer - Software, Backend Developer, Database Engineering
Salary/Wage Range or Industry Benchmark: 153000 - 376000 USD Yearly USD 153000.00 376000.00 YEAR
Job Description & How to Apply Below
Location: New York

The Data Platform team at Figma builds and operates foundational systems that power analytics, AI/ML, and data-driven decision‑making across the company. We serve analysts, researchers, engineers, and product teams that rely on data for insights and strategy. Our key platforms include Snowflake, the ML Datalake, orchestration and pipeline infrastructure, and large‑scale ingestion systems that manage all data flowing into and out of Figma.

What

you’ll do at Figma
  • Design and build large‑scale, distributed data systems that power analytics, AI/ML, and business intelligence across Figma.
  • Develop batch and streaming solutions to ensure data is reliable, efficient, and scalable throughout the company.
  • Manage and evolve core platforms such as Snowflake, the ML Datalake, orchestration infrastructure, and real‑time ingestion systems.
  • Improve data reliability, consistency, and compliance to guarantee high‑quality data for engineering, research, and business stakeholders.
  • Identify and drive cost‑optimization opportunities across data processing, compute infrastructure, and storage.
  • 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.
  • Mentor and support engineers, fostering a culture of learning and technical excellence.
Qualifications
  • 5+ years of backend or infrastructure engineering experience, including 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.
  • Proven track record of impact‑driven problem‑solving in fast‑paced environments, with a strong focus on high‑quality, reliable, and performant systems.
  • Excellent technical communication skills, with experience collaborating across both technical and non‑technical stakeholders.
  • Experience mentoring engineers and fostering a culture of learning and technical excellence.
Preferred Experience
  • Familiarity with our stack, including Golang, Python, SQL, frameworks such as dbt, and technologies like Spark, Kafka, Snowflake, and Dagster.
  • Experience building data infrastructure for AI/ML pipelines, including model serving, feature stores, or dataset compliance.
  • Experience with reverse ETL, personalization platforms, or real‑time event ingestion systems.
  • Experience with data governance, access control, and cost optimization strategies for large‑scale data platforms.
  • The ability to navigate ambiguity, take ownership, and drive projects from inception to execution.
Compensation

Annual Base Salary Range: $153,000 — $376,000 USD
. Remote roles receive a localized pay range based on location (80%‑100% of the hub range). Figma offers equity and a competitive benefits package, including health, dental, vision, retirement contributions, parental leave, mental‑health benefits, generous PTO, learning stipend, and more.

EEO Statement

At Figma we celebrate and support our differences. We are an equal‑opportunity workplace dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will provide reasonable accommodation for individuals with disabilities during the application and interview process and for performing essential job functions.

Accommodations
  • Holding interviews in an accessible location
  • Enabling closed captioning on video conferencing
  • Ensuring all written communication is compatible with screen readers
  • Changing the mode or format of interviews
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