СШАData Engineer Intern (2027)
3 нед. назад
46 USD / часСШАTrainee
data pipelinesdata warehousetestingdocumentation
Internship role for building and optimizing data pipelines and datasets to support decision-making at .
Обязанности
- Build, test, and document data pipelines that bring product or business data into ’s data warehouse
- Help design foundational datasets that are trusted, well-documented, and easy to use
- Optimize pipelines for performance and scalability as 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 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.
Требования
- 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 , 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.
Условия
- This internship role is based in either ’s San Francisco or New York hub offices, and has the hourly base pay rate stated below. also offers interns a housing stipend and travel reimbursement. ’s compensation and benefits are subject to change and may be modified in the future.
- Internship
- $46 — $46 USD
- At 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. 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.
- 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 's Candidate Privacy Notice .
Другое
- is growing our team of passionate creatives and builders on a mission to make design accessible to all. ’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, 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 . 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 's data more accessible across the company.
- This internship will be based out of our San Francisco or New York Hub.
- 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