Data Engineer - Toronto - Leap Tools

    Leap Tools
    Leap Tools Toronto

    1 week ago

    Description

    At Leap Tools, we are building the world's most advanced solutions for the interior décor industry. With customers in 80+ countries, our clientele includes Fortune 500 companies such as Home Depot, local retailers such as Alexanian's, and everything in between. We have been recognized as one of the fastest-growing tech companies by Deloitte for multiple years in a row, and we are looking for ambitious challenge-seekers to fuel our momentum and help us create an iconic global tech company.

    About Our Product


    Our technology lets you preview products in your own room before you buy them. Imagine you want to redesign your home and have been searching for new tiles for your kitchen, or a new rug for your living room. You definitely want to make sure it will look good in your space. We enable you to do that through our proprietary cutting-edge technology, presented in an extraordinarily simple and accessible way. Try our rug demo now Simply upload a picture of your room using your mobile phone, and slide the rug under your coffee table:

    About You


    You are a Data Engineer with a strong foundation in building and maintaining data pipelines and data models that power analytics, reporting, and product insights. You enjoy working close to production systems and care deeply about data quality, reliability, and performance.

    You want to grow your impact and technical depth. You may not yet be setting a long-term data strategy, but you are eager to take ownership of meaningful parts of the data platform, learn best practices in data warehousing, and work alongside senior engineers, ML engineers, and product teams to solve real business problems.

    You value execution, collaboration, and learning, and you are comfortable operating in a fast-paced environment where priorities evolve and ownership matters.

    About Our Stack

    • Python, Django, Kubernetes, PostgreSQL, dbt, Redshift, AWS

    What You'll Do

    • Design, build, and maintain reliable ELT pipelines that ingest and transform data into our centralized data warehouse.
    • Model data for analytics and reporting use cases, ensuring performance, correctness, and usability for downstream consumers.
    • Partner with Product, ML Engineers, Data Scientists, and DevOps to support data needs across the organization.
    • Take ownership of specific data pipelines, datasets, or warehouse components, including monitoring, debugging, and iterative improvement.
    • Help improve data quality, testing, and documentation standards within the data platform.
    • Participate in system design discussions and code reviews, learning from senior engineers and contributing your perspective.
    • Unblock and support internal stakeholders by making data accessible, understandable, and trustworthy.

    Requirements

    • 2+ years of professional experience in data engineering, analytics engineering, or backend engineering with a strong data focus.
    • Strong SQL skills and working proficiency in Python.
    • Experience building or maintaining data pipelines and working with a data warehouse or analytics stack.
    • Solid computer science fundamentals, based on a degree in Computer Science or equivalent practical experience.
    • Understanding of system architecture with an emphasis on reliability, availability, and performance.
    • Strong focus on execution and delivering production-ready solutions.
    • High attention to detail and commitment to data quality and long-term maintainability.
    • Clear communication skills and comfort collaborating across teams.
    • Comfortable working in a fast-paced, evolving environment where learning and adaptability are key.
    • Familiarity with our stack is strongly preferred but not required.

    About Our Culture

    • We're a remote-first company that encourages our employees to work from where they're most productive.
    • We work in tight-knit teams to cultivate an ownership mentality.
    • We cherish curiosity and an obsession for details because we know these details are invaluable over the long run.
    • We're hyper-focused on our achievements and our ability to execute our promises. We act with urgency.
    • Work anywhere in the world for up to 3 months
    • We value families, by offering a parental leave program
    • We offer a work-from-home stipend
    • Your birthday (and our company's birthday) is a day off

    About Our Hiring Process

    • You upload your resume and complete a brief questionnaire.
    • Three rounds of technical assessment.
    • Culture fit assessment.
    • Final interview with leadership.
    • Offer

    Take the Leap. Apply now.

    Our demo, in case you missed it:


    #J-18808-Ljbffr

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