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CA ON Brampton Office, Canada
Hybrid
SPS Commerce is a leading provider of cloud-based supply chain management solutions, serving a global network of retail trading partners. We foster a collaborative and inclusive work environment where innovation and continuous improvement are highly valued. Join SPS Commerce and be part of a dynamic team that's transforming the global retail supply chain!
Essential Responsibilities/Duties:
Design, build, and maintain scalable data pipelines and services that process high- volume EDI transactions
Contribute to the full software development lifecycle: design, implementation, code review, testing, deployment, and production support
Collaborate with data analysts and product teams to implement new analytics use cases—compliance monitoring, fulfillment tracking, management reporting, and more
Participate actively in agile ceremonies (sprint planning, standup, retrospectives) and own tickets end-to-end in Jira
Help improve observability, reliability, and performance of existing pipelines and APIs
Work effectively across time zones with a distributed team spanning North America and Europe
Bring ideas to the table—we are an active adopter of agentic and AI-assisted development tooling
Requirements:
Required:
2+ years of professional software engineering experience
Proficiency in one or more of: Python, Java, or Kotlin—we use multiple languages and value adaptability over a single stack
Solid understanding of data engineering fundamentals: batch and streaming pipelines, ETL/ELT patterns, SQL
Experience with at least one big data processing platform (Databricks, Snowflake, Apache Spark, Google BigQuery, AWS Redshift, or similar)—we are platform-open, not Databricks-exclusive
Comfort with cloud environments (AWS or equivalent) and modern DevOps practices (Git, CI/CD, automated testing)
Strong communication skills for a distributed, asynchronous team
Appreciated (not required):
Experience with data analysis workflows: exploratory data analysis, working with data scientists or analysts, building analytical datasets
Familiarity with medallion / data lakehouse architecture patterns
Exposure to EDI standards or supply chain / retail domain data
Experience with agentic development tooling (Claude Code, Cursor, Copilot, or similar)
Background working on data mesh or domain-oriented data ownership models
Location:
This role follows a hybrid work model, with regular in-office presence at our Brampton, Ontario office preferred. We are also open to remote candidates located anywhere within Canada.
What We Offer:
At SPS Commerce, we are committed to ensuring that each employee's compensation reflects their unique experiences, performance, and skills in their role. The salary range for this role considers several factors, including education, relevant skills, work history, certifications, location, and more.
The annual salary range for this role is: $83,500 - $125,300 CAD. The actual salary offered will be determined based on the factors listed above and may fall anywhere within the range.
SPS Commerce offers a comprehensive benefits package designed to support employees’ health, well-being, and financial security. Benefits are country-specific and aligned with local laws and market practices.
At SPS we power connections that drive the world of commerce forward, and our success depends on making strong decisions, fostering innovation, delivering unparalleled customer solutions, and driving outstanding business performance. We achieve this by creating an environment where every employee feels a true sense of belonging. We embrace diversity, equity, and inclusion, ensuring everyone feels accepted, valued, and empowered to make a meaningful impact.
We are committed to affirmative action and equal opportunity in all aspects of employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.