Data Engineer Student

AI overview

This hands-on role will immerse you in the Modern Data Stack, focusing on improving data reliability and building the architecture behind critical business decisions.
At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, we’ve built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking. We are looking for a motivated Student Data Engineer to join our team. This is a hands-on role where you will work on real production systems. You will gain deep experience with the Modern Data Stack (dbt, dlt, Snowflake, Airflow, K8s) and play a key role in improving our data reliability. What You'll Do:
  • Perform data reconciliation and implement custom tests based on business logic to ensure high data accuracy.
  • Collaborate with stakeholders to migrate and optimize Sigma BI dashboards from legacy models to new, optimized datasets.
  • Design and implement dbt models to structure data effectively within a Medallion Architecture pattern.
  • Build and maintain ELT pipelines using Python and dlt to extract data from 3rd party APIs into our warehouse.
  • Enhance system observability and monitoring using AWS, Coralogix, and PagerDuty.
  • Requirements:
  • Currently pursuing a B.Sc. or M.Sc. in Computer Science, Information Systems, or a related field (with at least 1 year remaining).
  • Strong proficiency in SQL, including the ability to write complex queries (Joins, CTEs, Aggregations).
  • Experience with Python for data manipulation, automation, or scripting.
  • Curiosity and eagerness to learn the Modern Data Stack (dbt, Cloud Data Warehouses, Orchestrators).
  • Ability to work independently on complex engineering challenges.
  • Why Join Us?
  • Real Impact: You won't just be fixing bugs, you will be building the architecture that powers the company's decision-making.
  • Mentorship: Work closely with a team of experienced Data Engineers.
  • Modern Tooling: Get hands-on experience with the industry-standard tools used by top tech companies.
  • Tech Stack: SQL, Python, dbt, Snowflake, Airflow, AWS, Kubernetes, Sigma BI.
  • What we offer:
    - A culture that values product ownership, collaborative architectural planning, and building wins for your resume/portfolio as much as for the company.
    - Smart, dynamic people with whom you can share the experience of building something unique.
    - Competitive salary with opportunities for growth and advancement.


    A Note on Recruiting Outreach
    We’ve been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @lendbuzzcareers.com). Please note that all legitimate emails from our team come from @lendbuzz.com. We will never ask for sensitive information or conduct interviews via messaging apps.

    Perks & Benefits Extracted with AI

    • Education Stipend: A culture that values product ownership, collaborative architectural planning, and building wins for your resume/portfolio as much as for the company.
    • Hands-on with modern tools: Modern Tooling: Get hands-on experience with the industry-standard tools used by top tech companies.

    The leading car loan provider for expats and international students in the US. No credit score or SSN is required. Lendbuzz offers car financing at attractive terms and helps you build your U.S. credit history!

    View all jobs
    Ace your job interview

    Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

    Data Engineer Q&A's
    Report this job
    Apply for this job