Data Engineer Intern (2027)

Figma
San Francisco +1 more
On-siteCareer-pivot friendly

Who this role is best for

Best suited to candidates with data pipeline experience working in collaborative, fast-growing tech environments.

Best fit for

  • Candidates with Python and SQL experience who enjoy building data infrastructure for collaborative teams
    — “Experience coding in Python or a similar language and writing SQL queries”
  • Individuals interested in making data systems more scalable and reliable through foundational dataset design
    — “Curiosity about how data systems work and interest in making them more scalable and reliable”
  • Candidates who are comfortable with cross-functional collaboration and delivering solutions to diverse stakeholders
    — “Partner with cross-functional teammates to understand data needs and deliver solutions”

Things to consider

  • In-person attendance is required during onboarding despite flexible location options for the internship
    — “you will be required to attend in person onboarding”
  • Candidates must keep cameras on during interviews, which may be a consideration for those uncomfortable with video interviews
    — “we require all candidates keep their cameras on during video interviews”

How to stand out

  • Highlight projects where you designed reusable datasets or optimized data workflows for broader use
    — “Build reusable datasets that support experimentation, product and business analytics”
  • Showcase experience in ETL processes or working with large-scale data systems in your resume and interview responses
    — “Experience building or working with data pipelines, ETL, or large datasets”
  • Emphasize your ability to document complex systems clearly and simplify data workflows for others
    — “Document and simplify complex data workflows for broader use”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • build and document data pipelines
  • design foundational datasets
  • optimize pipelines for performance
  • partner with cross-functional teammates
  • contribute to data tools and practices
Typical background
data engineering experiencedata science experience

Skills & requirements

Required

PythonSQLETLData PipelinesData QualityData AccessibilityCollaborationCommunication

Preferred

Experience With Data WarehousesExperience With Cloud Services

Stack & domain

PythonSQLETLData PipelinesData QualityData WarehousingCuriosityCommunicationCollaborationLearningFeedbackGrowthData EngineeringData Analytics

About the role

Original posting from Figma via Greenhouse

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 USDAt 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.

Source: Figma careers (Greenhouse)

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