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Senior Data Engineer

Job Overview

Location

Canada (Remote)

Job Type

Full-time

Category

Software Engineering

Date Posted

June 19, 2026

Full Job Description

đź“‹ Description

  • • Design, build, and scale enterprise-grade data pipelines on Snowflake to support high-volume transactional data processing from 110M+ annual transactions and $257B in annual volume.
  • • Optimize the foundational Snowflake architecture for performance, cost-efficiency, and reliability, ensuring seamless integration with finance and customer systems across 10,000+ customers.
  • • Develop and maintain robust data ingestion, transformation, and orchestration workflows that enable real-time and batch processing for commercial data products.
  • • Lead the evolution of the data platform from foundational governance to an agentic engineering and MLOps-enabled ecosystem, integrating intelligent semantic models that directly feed product features.
  • • Collaborate as a full-stack generalist within the engineering pod, sharing ownership of pipeline resilience, end-to-end observability, and data quality monitoring across the entire data lifecycle.
  • • Implement advanced observability tooling to detect anomalies, track lineage, and ensure data integrity across complex, multi-source data flows.
  • • Partner with data scientists and product teams to operationalize machine learning models, ensuring scalable deployment and continuous monitoring in production environments.
  • • Contribute to the design and governance of data schemas, metadata standards, and access controls to support secure, compliant, and auditable data usage across the organization.
  • • Drive automation of repetitive data engineering tasks to reduce manual intervention and increase team velocity in delivering high-margin data products.
  • • Advocate for best practices in data engineering, including infrastructure-as-code, CI/CD pipelines, and version-controlled data workflows.
  • • Translate business requirements from finance and commercial teams into technical specifications for data solutions that unlock working capital and improve cash flow clarity.
  • • Mentor junior engineers and contribute to team knowledge sharing through documentation, code reviews, and technical leadership.
  • • Stay current with emerging trends in data platform architecture, AI enablement, and cloud-native data technologies to continuously improve Versapay’s data infrastructure.

🎯 Requirements

  • • Proven experience designing and scaling enterprise data platforms using Snowflake
  • • Demonstrated expertise in building and maintaining complex ETL/ELT pipelines with modern orchestration tools (e.g., Airflow, dbt, Fivetran)
  • • Strong proficiency in SQL and at least one programming language (Python, Scala, or Java) for data processing and automation
  • • Experience implementing data observability, lineage tracking, and monitoring solutions in production environments
  • • Hands-on experience with cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools (Terraform, CloudFormation)
  • • Familiarity with MLOps practices and deploying machine learning models into production data pipelines

🏖️ Benefits

  • • Remote work flexibility across Canada
  • • Opportunity to work on a high-impact platform processing over $257B annually
  • • Exposure to cutting-edge agentic engineering and AI enablement initiatives
  • • Collaborative culture with direct impact on commercial data products

Skills & Technologies

Senior
Remote

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About Versapay Corporation

Versapay Corporation provides cloud-based accounts receivable and collaborative payment automation software for mid-market and enterprise businesses. Its platform streamlines invoicing, collections and cash application through networked buyer-supplier connections, embedded payments and AI-driven matching, enabling companies to reduce DSO, improve working capital and deliver superior customer experience while integrating with ERPs such as Microsoft Dynamics, Oracle NetSuite and Sage.

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