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Figma

Data Engineer Intern (2027)

Figma is hiring a Data Engineer Intern (2027) in San Francisco and New York, United States. Level rates it ; you can apply on Figma.

Level's read on this job

  • Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
  • Tools and skills the posting cites include Python, SQL and etl.
  • Level classifies it as an internship.
  • Level lists 144 other open roles at Figma.

AI in this role

Build and scale data pipelines, ETL jobs, and datasets to support analytics and decision-making across Figma.

PythonSQL
etldata-pipelinesdata-warehousedata-engineering

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!

We are looking for Data Engineering interns who are excited to help scale the systems and pipelines that power decision-making at Figma. As an intern on our data team, you will partner with engineers and analysts to design and build reliable datasets, ensure data quality, and make Figma's data more accessible across the company.

This internship will be based out of our San Francisco or New York Hub.

What you'll do at Figma:

  • Build, test, and document data pipelines that bring product or business data into Figma’s data warehouse
  • Help design foundational datasets that are trusted, well-documented, and easy to use
  • Optimize pipelines for performance and scalability as Figma grows
  • Partner with cross-functional teammates to understand data needs and deliver solutions
  • Contribute to the tools and practices that make working with data at Figma easier
  • With support from a manager and mentor, you’ll own a scoped project from problem definition through implementation, testing, documentation, and sharing the results.

Some projects you could work on:

  • Develop new ETL jobs to integrate product or business data into our warehouse
  • Improve the performance and reliability of core pipelines
  • Build reusable datasets that support experimentation, product and business analytics, or cross-functional stakeholders
  • Document and simplify complex data workflows for broader use

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

  • Experience coding in Python or a similar language and writing SQL queries
  • Experience building or working with data pipelines, ETL, or large datasets
  • Curiosity about how data systems work and interest in making them more scalable and reliable
  • Strong communication and collaboration skills
  • Excitement to learn, get feedback, and grow as a data engineer

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.

Pay Transparency Disclosure

This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below. Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future.

Internship$46—$46 USD

At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are 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 work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.

Examples of accommodations include but are not limited to:

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

To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.

By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.

Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:

  • Candidates may submit up to 5 applications during any rolling 30-day period.
  • Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.

Once the applicable days has passed, candidates are welcome to apply again.

How we rate this

Data Engineer Intern (2027) at Figma rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ETLData PipelinesData WarehouseData EngineeringPythonSQL

Also common in data engineer jobs at this level

Pay

Typical data engineer job
$147k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

  1. Tell me about a project where etl was part of your work. What did you do?
  2. Tell me about a project where data pipelines was part of your work. What did you do?
  3. Tell me about a project where data warehouse was part of your work. What did you do?
  4. Tell me about a project where data engineering was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: ETL, Data Pipelines, Data Warehouse, Data Engineering, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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