Staff Data Engineer

About the Role

As a Staff Data Engineer, you’ll play a key role in scaling and improving how we integrate and process customer data. You will design and implement ETLs that reliably process large volumes of customer-provided data and build tools to make customer integrations faster, more accurate, and more scalable. You’ll also contribute to the development of new features that support our expanding product lines. Your work will have a direct and visible impact on our ability to onboard customers easier and quicker and power our machine learning grocery solution.

What to Expect

• Build tools and frameworks that streamline customer integrations, enabling faster onboarding and better handling of customer data.
• Create robust ETLs in PySpark and DBT to process billions of records from customer datasets, ensuring data is accurate, reliable, and ready for downstream use.
• Collaborate with product, engineering, and go-to-market teams to design and deliver data solutions for new products and features.
• Identify and implement optimizations to improve ETL runtime and data processing scalability, reducing the time and effort required for integrations.
• Solve real-world data quality challenges by working directly with messy, incomplete, or inconsistent customer data to extract the signal we need.
• Investigate and implement new technologies into the data platform, focusing on practical solutions that address current pain points and anticipate future needs.
• Support team members by mentoring engineers, leading technical discussions, and providing clear, actionable feedback.

Skills and Experience

We encourage all highly-qualified candidates to apply, even if they don’t meet every listed qualification.

Why Work Here

We’re looking for someone who thrives on tackling complex data problems and takes pride in building systems that work seamlessly at scale. If that sounds like you, we’d love to hear from you!

Salary Range in CAD :

J-18808-Ljbffr