Data Engineer Intern (Summer 2027)
This Data Engineer Internship at Lyft offers an invaluable opportunity to dive deep into the world of large-scale data infrastructure and operational analytics. You will work alongside experienced engineers to design, build, and test robust ETL pipelines that process massive volumes of data related to mobility services. Key responsibilities include writing optimized SQL queries, developing Python scripts for data transformations, and assisting in the maintenance of data warehouse integrity (e.g., Snowflake or BigQuery). This role is perfect for a motivated student eager to apply academic knowledge to real-world challenges. You will gain practical experience with industry-leading cloud platforms and learn best practices in data governance and quality assurance, making it a foundational step toward a career in data science or engineering.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
1500
Question set
80
Duration
INTERNSHIP
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Data Engineer Intern (Summer 2027)?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Data Engineer Intern (Summer 2027)?
Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.
Is there negative marking in the lyft test?
The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.
What is the passing marks for this test?
The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.
How can I prepare for the Data Engineer Intern (Summer 2027) test?
Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: Data Engineering, Python, SQL, ETL Pipelines.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.