Staff Software Engineer Data - DC Tech Lead

About the Role As a Staff Data Engineer, on the Distribution Center (DC) Solutions team, you’ll play a technical lead role in building and scaling the data integrations needed to support our suite of DC products. You will design and implement ETLs that reliably process large volumes of customer-provided data and build tools/improve the platform to make customer integrations faster, more accurate, and more scalable. Your work will have a direct and visible impact on our ability to onboard customers more easily and quickly and power our machine learning grocery solution. What You’ll Do Engineering & Data Pipelines: Design, build, and optimize robust ETLs using PySpark and DBT to process large-scale customer datasets while developing tools and frameworks to streamline data integrations and improve scalability. Technical Leadership & Strategy: Define the technical vision for DC data architecture, mentor engineers, and manage external contractors to ensure the team delivers high-quality, practical solutions for current and future needs. Cross-functional Collaboration: Partner with product, engineering, and applied science teams to scope work and deliver data solutions that address real-world challenges in customer data quality and product feature requirements. What Makes You a Great Fit We encourage all highly-qualified candidates to apply, even if they don’t meet every listed qualification. Significant experience designing and maintaining ETLs that process large-scale datasets. Proficiency with Python, PySpark, SQL, and experience working on platforms/tools like Databricks, Snowflake, or DBT. 2+ years experience in a technical lead role (e.g. Tech Lead or Engineering Manager), with a willingness to mentor and help others grow. Strong problem-solving skills and the ability to work with ambiguous or incomplete requirements to deliver concrete, impactful solutions. A focus on practical outcomes—you're skilled at balancing technical rigor with the need to get things done. Experience working directly with complex, unclean datasets and finding innovative ways to process and analyze them. A knack for identifying areas where tooling or automation can simplify workflows and reduce manual effort. Excellent communication skills—you’re able to explain your ideas clearly to both technical and non-technical audiences. 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! This position is not eligible for immigration sponsorship Salary Range in CAD: $148K - $242K

As a Staff Data Engineer, you will design and implement ETLs to process large volumes of customer data and improve data integrations. You will also define the technical vision for data architecture and collaborate with cross-functional teams to deliver effective data solutions.

Candidates should have significant experience in designing and maintaining ETLs for large datasets and proficiency in relevant technologies. A minimum of 2 years in a technical lead role is required, along with strong problem-solving and communication skills.

• Data analysisPreferred

Identified from the job description. Confirm important requirements above.

• Python
• PySpark
• SQL
• ETL
• DBT
• Databricks
• Snowflake
• Data Integration
• Machine Learning
• Data Quality
• Technical Leadership
• Problem Solving
• Communication
• Mentoring
• Automation
• Data Analysis

• Technology
• Data & Analytics
• Software
• Engineering

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week

Location requirements

Country, Canada

Application method

Direct apply is available