Data Engineer Intern (Summer 2027)
Lyft · Toronto, Canada
Skills in this posting
Benefits
The posting
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
Interns work side-by-side with top engineers in the industry while having autonomy from the get-go. They contribute to user-facing products and are able to see their work go live quickly. Lyft fosters a collaborative environment in the office, so there's always a sharp mind eager to hear about your next idea. So what's yours?
Responsibilities
Own your project, while checking in with other team members throughout the day with questions and updates
You leave the code in a better state than when you found it (progressive refactor)
You value reliability, ensured by testing
Participate in code reviews to ensure code quality and distribute knowledge
Continuous integration and deployment
Go home knowing that your work today is meaningfully improving the lives of every Lyft driver and every Lyft passenger!
Experience
Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science or related major from a university in Canada (required) , with a graduation date between December 2027 and Summer 2028 (required) . For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience
Available during Summer 2027 for an internship in Toronto
Strong knowledge of CS fundamentals
Knowledge of SQL and data modeling fundamentals
Experience working with databases
Excellent communication skills
Interest in solving large scale data problems in a real world scenario
Passion for community, sustainability, and/or transportation
Mental health benefits
In addition to holidays, interns receive 2 days paid time off and 3 days sick time off
Subsidized commuter benefits and Lyft ride credits
Lyft is committed to creating an inclusive workforce that fosters belonging.
Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy.
Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers.
The expected base pay range for this position in the Toronto area is CAD $40 - CAD $45 per hour. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.
This is a new position.
The PivotHop read
- What a data engineer actually earnsmedian, seniority, by country
- Data Engineer career changes, measuredevery measured route out
- Data Architect → Data Engineer47% readiness
- Data Analyst → Data Engineer28% readiness
- All open data engineer rolesthe full board
Where these skills also reach
- 91 open data architect roles91% readiness from data engineer
- 69 open database administrator roles59% readiness from data engineer
- 600 open data analyst roles57% readiness from data engineer
- 600 open solutions architect roles56% readiness from data engineer
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