Senior Data Engineer
Leap Tools
Data Science
Canada · Remote
Posted on Feb 3, 2026
Senior Data Engineer
Canada - Remote
Engineering
Remote
Full-time
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 seasoned Data Engineer with a passion for designing and implementing enterprise-scale data warehouses and pipelines that power data-driven decisions. You thrive on solving complex problems related to data modeling, governance, and performance, ensuring data is accessible and reliable for our users and internal stakeholders. You enjoy setting the technical bar high for data quality and scalability, and you are ready to lead the charge.
You excel at translating business needs into robust, secure, and scalable data solutions. You want to leverage your experience to make a significant impact on our entire data ecosystem. Join us, and you will work closely with our talented engineering, ML, and product teams to define and execute our long-term data strategy.
About our Stack
- Python, Django, Kubernetes, PostgreSQL, dbt, Redshift, AWS
What You'll Do
- Design, build, and optimize high-volume, high-performance ELT pipelines to load data into our centralized data warehouse. This data will be modelled for performance and will serve as the single source of truth for customer analytics reporting, business intelligence dashboards, and benchmarking.
- Collaborate closely with Product, ML Engineers, Data Scientists, and DevOps to define and enforce a reliable, scalable, and secure data platform architecture, paying special attention to data warehousing standards, data quality, and metadata management within the warehouse environment.
- Take ownership of key data warehouse components, driving their initial development, deployment, operational monitoring, and continuous improvement to ensure maximum availability and performance for downstream consumers.
- Provide technical leadership through data architecture reviews, system design discussions, and improving team processes and data engineering best practices.
- Leverage your knowledge and expertise to help shape our engineering and data-driven culture.
- Unblock, support, and communicate with internal and external partners to achieve results, with a focus on data accessibility and usability.
- Help us build a strong team through mentorship and by participating in the hiring process.
Requirements
- 5+ years of professional data engineering experience building scalable data systems and pipelines.
- Expert proficiency in SQL and strong coding skills in Python.
- Deep, hands-on experience with Data Warehousing design, building and managing large data lakes and warehouses.
- Strong computer science fundamentals, particularly in data structures, algorithms, and distributed systems, based on a degree in Computer Science or distinctive work experience.
- Solid understanding of distributed system architecture, focusing on data availability, reliability and performance.
- Strong focus on execution and delivery of the product.
- Exceptional attention to detail and focus on quality and long-term goals.
- Strong communication skills.
- A demonstrated ability to provide guidance, mentorship, and support.
- A leadership mindset. You take initiative, make decisions and deliver results consistently.
- Comfortable working in a fast-paced, evolving environment where learning and adaptability are key.
- Familiarity with the 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: https://www.roomvo.com/rugdemo4r
First name *
Last name *
Email *
LinkedIn URL
Resume *
Click to upload or drag and drop here
Cover letter
Click to upload or drag and drop here
Given the data structure {"sku": "VA-43", "size": "5ft", "name": "Blue Sky", "description": "A great product!"} *
Change it to match the following spec:
1) All values must be lowercase.
2) Values may contain only alphanumeric characters, underscores or dots. All other characters must be replaced with underscores.
3) "description" is a special property, to which none of the above specifications apply.
4) If any value has more than 10 characters, trim it at 10 characters and add three trailing dots.
5) Convert imperial units into metric. For distance, use meters.
What is the runtime complexity of this function, in terms of m and n? *
def print_all_codes(n, m):
upper_bound = m + n
# Print all codes for n and m
def print_01_codes(current, num_digits):
if num_digits == 0:
# Print only the current
print(current)
else:
if upper_bound > m or upper_bound < 1 or m == n == 0:
print_01_codes('1' + current, num_digits - 1)
print_01_codes('0' + current, num_digits - 1)
print_01_codes('1' + current, num_digits - 1)
print_01_codes('0' + current, num_digits - 1)
else:
print_01_codes('1' + current, num_digits - 1)
print_01_codes('0' + current, num_digits - 1)
print_01_codes('1' + current, num_digits - 1)
upper_bound = 0
while True:
for i in range(upper_bound):
print_01_codes('', n)
if upper_bound == m:
break
upper_bound += 1
Please describe your proudest programming achievement *
Req ID: R44
