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Remote · Unlimited leave · Data Engineer

Senior Data Engineer

Super.com · Canada · Canada

Remote Full time Posted Open until 23 Oct 2026
  • Remote - Remote-First Flexibility: Work from anywhere in the world and choose the hours that suit you best. — job description
  • Unlimited leave -Time to Recharge: Enjoy unlimited PTO, company-wide recharge days, and annual team offsites. — job description

The job, in the employer's words

About Super.com

We started Super.com to help maximize lives–both the lives of our customers and the lives of our team – so that everyone can experience all that life has to offer. For our employees, our promise is that Super.com is more than just a job; it’s an opportunity to unlock one’s potential, where learning is celebrated and impact is realized.

We are more than a fast-paced, high-growth tech company; we care about our people and take career progression seriously. This is your career and our aim is to supercharge it through the people, the work, and the programs that fuel who we are.

About the role

This role is part of our Data Engineering team. Being Data Driven is a core value of Super.com and this team plays a huge part in this, enabling the organization to scale while maintaining petabytes of data. We are long time advocates and users of Snowflake, dbt, Kafka, and Amplitude. This isn’t a place where we are convincing the business the value of data or just using these tools for the first time. We have maturity in our technical practices, launch a new experiment almost every day, and we are looking for teammates to roll up their sleeves and do high quality data work.

As a Senior Data Engineer, you will be a key member of a high-performing team of senior data professionals, reporting directly to an Engineering Manager. You will be expected to tackle the organization's most difficult and critical technical challenges, providing robust, scalable, and reliable solutions that align with the company’s growth.

This position is a specialized function within our SWAT (SoftWare Adaptability Team). As a SWAT team member, your allocation will be driven by the organization's highest short-term needs (6 to 26 weeks). Success in this role requires a rapid contextual ramp-up to quickly diagnose complex problems, align solutions with diverse stakeholders, and design and implement high-quality, impactful data solutions. You must skillfully balance the need for rapid delivery with high-quality data outputs to maximize business value.

What you’ll be working on:

  • Design efficient architectural recommendations, gain buy-in, and implement them in a reliable manner

  • Improve, oversee, and coach standards for code+infrastructure maintainability and performance through written documentation and peer review

  • Work closely with the analytics and business intelligence teams, as well as other stakeholders from finance, sales, marketing, and product, to identify the data needs of the business and produce processes that enable a better product and support growth decision-making

  • Champion and ensure data governance is a core component of engineering workflows

  • Help to evolve and scale our data platform, with an eye towards growth of our business and stability

What we’re looking for:

  • 5+ years of software/data engineering experience with expert hands-on Python and SQL practice

  • A track record of taking ownership in high-stakes situations, demonstrating urgency, and rapidly integrating new technologies to drive quantifiable business outcomes

  • Evidence of designing and implementing logical, well-architected solutions for complex, large-scale data engineering challenges

  • Deep experience in database design, warehouse data modeling, and developing distributed systems, including specific technologies utilized

  • Proven ability to clearly communicate intricate technical details and complex requirements to both technical peers and non-technical business stakeholders, leading to alignment and project success

  • Predictive modeling and machine learning experience is a strong plus

We’ve got you covered:

At Super.com, we believe in supporting our team so they can thrive—both at work and in life.

-Remote-First Flexibility: Work from anywhere in the world and choose the hours that suit you best. We trust you to get great work done on your terms.

-Time to Recharge: Enjoy unlimited PTO, company-wide recharge days, and annual team offsites.

-Everyday Perks: Weekly UberEats credits and travel discounts on Super.com help you enjoy the little things.

-Family-Friendly Benefits: We support growing families with generous parental leave and a flexible return-to-work plan.

-Comprehensive Compensation: Competitive salary, equity options, annual bonus, retirement matching, and top-tier benefits packages.

-Investing in You: Access to wellness budgets, personal development funds, and team-level learning resources.

And that’s just the beginning. Visit our careers page to explore the full range of perks and benefits we offer.

At Super.com, we are proud to leverage cutting-edge artificial intelligence (AI) technology to make our hiring process smarter, faster, and more inclusive. By integrating AI tools into our recruitment, we enhance our ability to identify top talent efficiently while promoting fairness and consistency for every applicant.

Super.com is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Accommodations are available on request for candidates taking part in all aspects of the selection process. If needed, please notify your Talent Acquisition Partner.

Requirements mentioned

  • 5+ years of software/data engineering experience with expert hands-on Python and SQL practice
  • A track record of taking ownership in high-stakes situations, demonstrating urgency, and rapidly integrating new technologies to drive quantifiable business outcomes
  • Evidence of designing and implementing logical, well-architected solutions for complex, large-scale data engineering challenges
  • Deep experience in database design, warehouse data modeling, and developing distributed systems, including specific technologies utilized
  • Proven ability to clearly communicate intricate technical details and complex requirements to both technical peers and non-technical business stakeholders, leading to alignment and project success
  • Predictive modeling and machine learning experience is a strong plus

No Mondays shows this listing as the employer published it. Check the details on the employer's site before you apply.

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Remote share — Data Engineer jobs in Canada

100% are remote

20 of 20 jobs we have listed

Advertised pay — Data Engineer jobs in Canada

CAD 141k median advertised pay / year

Middle half: CAD 125k – CAD 178k

From 12 listings that state pay