The Role
As a Data Engineer, you'll design and maintain data pipelines, model data for analytics, ensure data quality, and collaborate with teams to meet data needs.
Summary Generated by Built In
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: https://www.roomvo.com/rugdemo...
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.
We hire humans, not job descriptions. You should apply even if this role and salary range don't align with your experience. We’re happy to create unique roles and compensation for the right talent.
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.
- Two rounds of technical assessment.
- Culture fit assessment.
- Final interview with leadership.
- Offer
AI in Recruitment - At Leap Tools, we leverage AI technology to enhance our recruitment process. These tools assist with tasks such as resume screening, sourcing prospective candidates, and to support administrative tasks for enhanced operational efficiency. Founders and senior leadership are directly involved in our recruitment process, and AI is never used to make the final hiring decision. We are committed to the responsible use of AI in our hiring practices.
Expected salary range, Ontario based: $65,000 - $115,000 + other benefits.
We value exceptional talent above all else. If your expectations or seniority sit outside the stated range, you should still apply. We can scale roles and compensation to match your unique situation.
This is a net new position on the team.
Leap Tools is an equal opportunity employer committed to fostering an inclusive, equitable, and accessible environment. Accommodations are available on request for candidates taking part in all aspects of the interview process. If you require any accommodation, please contact us at [email protected]
Take the Leap. Apply now.
Our demo, in case you missed it: https://www.roomvo.com/rugdemo4r
You should apply to this job even if you don't fit this role perfectly because we can create a new role for you with corresponding compensation.
Skills Required
- 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
- Familiarity with the tech stack is preferred but not required
Am I A Good Fit?
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The Company
What We Do
Our proprietary AR visualization platform removes the guesswork of choosing the right product. Together, we are changing the way people buy online and in stores - we deliver the solution that gets people clicking! Leap Tools is proud to work alongside global billion-dollar companies who trust us to supercharge their retail operations every day. Our partners, use our technology to enhance their consumer experience by giving consumers the ability to instantly see their vision come to life. By providing a more delightful and confident purchase decision for consumers, our partners experience a significant boost in sales cycle productivity including: 5x increase in e-commerce conversion rates 10% increase in overall website transactions Reductions up to 30 days or more for in-store sales At Leap Tools we focus on tackling the most challenging machine vision problems to provide our customers the tools they need to allow their customers to have their imagination realized. Check us out at www.leaptools.com and www.roomvo.com
