Data Engineer job opportunity at Borrowell.

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Date2026-02-19T15:23:05.175Z bot
Borrowell Data Engineer
Experience: 2-years
Pattern: Full-time
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loacation Toronto, Canada
loacation Toronto....Canada

About Borrowell: At Borrowell, we’re on a mission to help Canadians feel confident about their money. We empower individuals to take control of their financial futures by providing the tools and insights needed to understand, build, and use their credit effectively. Trusted by 1 in 10 Canadians, Borrowell provides over 3 million members with comprehensive credit monitoring and personalized insights. Our innovative services, including Credit Builder and rent reporting, help consumers build credit so they can unlock access to a wider range of financial products at more competitive rates. Additionally, we offer personalized financial product recommendations from Canada’s most trusted providers based on each member’s credit profile and financial goals. Our team is diverse, inclusive, and driven by a shared passion for making a meaningful difference in the lives of Canadians. We pride ourselves on fostering a culture of collaboration, humility, and innovation. If you’re looking to join a company that’s transforming the financial landscape and empowering Canadians to achieve their financial aspirations, we invite you to explore career opportunities at Borrowell. Together, we can help Canadians feel confident about money. About the role: As a Data Engineer, you will play a crucial role building and maintaining our data infrastructure and working with latest technologies such as Snowflake, Apache Airflow, DBT, serverless functions and Docker. You will be working closely with other data, engineering and business functions to develop solutions that drive both business analytics and insights as well as data driven applications. During your first year, you can expect to: Develop end-to-end ELT pipelines that integrate data from multiple sources to power a reliable and scalable data platform Design and build high-performance, reusable data models that efficiently handle large datasets and support analytics, marketing, and machine learning use cases Create and maintain APIs that enable seamless data sharing across systems, including APIs for deploying and serving machine learning models in production Partner with engineering, data, and business teams to drive and deliver impactful data engineering initiatives Contribute meaningfully to the design and implementation of core data infrastructure decisions 2+ years experience building end to end ETL/ELT data pipelines  Experience working with: Object-oriented and functional scripting languages (Python) Query authoring (SQL) as well as practical familiarity with relational databases Data transformation tool (DBT) Data platforms (Snowflake/Redshift/BigQuery) Nice to Haves:  Experience working with:  Workflow orchestration tools (Airflow/ Dagster) Containerized applications (Docker) Familiarity with cloud platforms (Azure/ AWS/ GCP) Important Qualities: Desire to continuously learn how to implement the latest technologies and analytical tools into our tech stack Willingness to embrace and act upon feedback Open and transparent communication, ability to adjust communication to suit both technical and non-technical audiences

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