Data Engineer

Job Title:
Data Engineer
Location:
Remote / Hybrid – Toronto, Canada
Job Duration: + Months Contract with Extension on T

Description:


At , our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.
Here at , Data is the only way we make decisions. It is the core of our business, helping us create a transportation experience for our customers, and providing insights into the effectiveness of our product launch & features.
As a Data Engineer, you will play a key role in building and maintaining scalable data infrastructure at . You will join an early-stage team responsible for data transport, collection, and storage systems while exposing services that prioritize data as a first-class citizen. Your work will involve proposing innovative ideas, evaluating multiple approaches, and implementing solutions based on fundamental principles and supporting data.
You will take ownership of core data pipelines powering top-line metrics and collaborate with cross-functional teams to evolve data models and architectures. By architecting, building, and launching robust data pipelines, you will enable seamless access to insights that fuel critical functions such as Analytics, Data Science, and Engineering.
You will be part of core Marketplace team, focusing on developing pipelines that support decision-making processes for finance, pricing, and driver-related metrics. Your contributions will help data scientists make informed decisions that drive success.

Responsibilities:

Take ownership of core data pipelines, ensuring resilience, optimal performance, timely delivery, data quality, and seamless onboarding of new features

Continuously evolve data models and schemas to meet business and engineering requirements

Implement and maintain systems to monitor and enhance data quality and consistency

Develop tools that support self-service management of data pipelines (ETL) and perform SQL tuning to optimize data processing performance

Contribute to the Data Engineering team’s technical roadmap, ensuring alignment with team and stakeholder goals

Write clean, well-tested, and maintainable code, prioritizing scalability and cost efficiency

Conduct code reviews to uphold code quality standards and facilitate knowledge sharing

Participate in on-call rotations to maintain high availability and reliability of workflows and data pipelines

Collaborate with internal and external partners to remove blockers, provide support, and achieve results

Requirements:

+ years of professional experience in data engineering

Experience working directly with cross-functional stakeholders from analytics, science, product and engineering to align data solutions with business goals

Proficiency in validation, explanation and visualization to present and analyze data and insights Strong skill in designing complex data model and resilient data pipelines that enrich them

Proficiency in SQL being able to understand complex business logic and implement own one

Deep understanding of how MPP systems process data and experience with ETL in Spark and/or similar

Proficiency in writing data transformation scripting in Python, Java or similar Hands-on experience with workflow management tools (, Airflow or similar)

Proven ability to collaborate with cross-functional stakeholders (analytics, science, product, and engineering) to ensure data solutions align with business objectives

Proficient in data validation, explanation, and visualization for effective data analysis and insight presentation Skilled in designing complex data models and resilient data pipelines

Expertise in SQL, capable of understanding intricate business logic and implementing custom solutions

Deep understanding of MPP systems and hands-on experience with ETL in Spark or similar technologies

Proficient in writing data transformation scripts using Python, Java, or similar languages

Practical experience with workflow management tools (, Airflow, Flyte, etc.)