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Описание вакансии
Текст:
TL;DR
Data Engineer Intern (2027) (Python/SQL): Building reliable data pipelines and foundational datasets for Figma’s data warehouse with an accent on data quality, documentation, performance, and scalability. Focus on developing ETL jobs, optimizing core pipelines, and delivering a scoped data engineering project from definition through implementation and testing.
Location: San Francisco, CA or New York, NY hub offices; in-person onboarding required
Hourly base pay: $46 USD per hour
Company
Figma provides a collaborative design platform that helps teams create, prototype, translate designs into code, and work together in real time.
What you will do
- Build, test, and document data pipelines that bring product and business data into the warehouse.
- Design trusted, well-documented, reusable datasets for experimentation, product analytics, business analytics, and cross-functional teams.
- Optimize pipeline performance, scalability, and reliability as the platform grows.
- Partner with engineers, analysts, and other stakeholders to understand data needs and deliver solutions.
- Own a scoped project from problem definition through implementation, testing, documentation, and results sharing with manager and mentor support.
Requirements
- Experience coding in Python or a similar language and writing SQL queries.
- Experience building or working with data pipelines, ETL, or large datasets.
- Interest in making data systems more scalable and reliable.
- Strong communication and collaboration skills.
- Willingness to learn, receive feedback, and develop data engineering skills.
Culture & Benefits
- Mentorship and support from a manager throughout the internship project.
- Housing stipend and travel reimbursement for interns.
- Equal employment opportunities and reasonable accommodations during the application, interview, and employment process.
- In-person onboarding is required if hired.
Hiring process
- Video interviews require candidates to keep their cameras on.
- Reasonable accommodations are available for the interview process.
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