Senior Data Engineer

2 months ago
Full-time
Senior
Software Development
Versapay

Versapay

Versapay provides cloud-based accounts receivable automation software and integrated payment solutions that enhance efficiency and cash flow for businesses by facilitating electronic invoice presentment and online payment collaboration with customers.

Capital Markets
51-250
Founded 2006
$16M raised

Description

  • Architect and optimize the existing Snowflake data platform, including environmental isolation and scalable data structures.
  • Automate workflows, build semantic models, and deploy agents using tools such as Snowflake Cortex, Cursor, and UiPath.
  • Implement and manage data quality and observability frameworks to improve pipeline reliability and issue detection.
  • Design, maintain, and monitor MLOps pipelines for deploying and lifecycle-managing machine learning models in Snowflake.
  • Share ownership of pipeline management, architecture, and MLOps with the broader data engineering pod.
  • Synthesize operational data entities into a unified enterprise semantic model for analytics and future monetization.
  • Build and maintain resilient, low-touch data pipelines using modern integration and orchestration tools.
  • Translate complex data analysis into strategic recommendations that support business decisions.

Requirements

  • 5+ years of data engineering experience with deep expertise in Snowflake advanced features, including RBAC, materialized views, dynamic tables, Snowpipe, and stored procedures.
  • Advanced proficiency in SQL and Python, with experience applying software engineering best practices to ELT processes.
  • Hands-on experience implementing data observability and monitoring platforms such as DataDog.
  • Experience using AI-assisted development tools such as Cursor and Snowflake Cortex, with familiarity in MLOps principles.
  • Experience building and maintaining resilient data pipelines using tools such as Fivetran, AWS Glue, and AWS Lambda.
  • Advanced SQL skills, proficiency with Python or R, and experience with BI tools.
  • Ability to work independently in fast-paced environments and execute high-impact initiatives.
  • Strong business acumen with the ability to identify key drivers and influence decision-making.
  • Clear verbal and written communication skills and a collaborative, cross-functional working style.
  • Preferred: Deep domain expertise in merchant payment ecosystems such as Adyen and experience with enterprise data governance and security standards.
  • Preferred: Experience architecting data products for commercialization, external endpoints, or embedded analytics in a SaaS platform.

Benefits

  • Remote work in Canada.
  • Full-time regular employment.
  • Salary range of $130,000 to $150,000 per year.
  • Opportunity to work on high-impact analytics, AI, and data product initiatives.
  • Chance to contribute to a growing enterprise data platform with commercialization potential.

Interested in this position?

Apply directly on the company website

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