Senior Developer, Credit Loss

Term Duration (in Months) Salary Range (plus eligible to receive a performance based incentive, applicable to position) : $94,620 - $128,020

Closing Date (MM/DD/YYYY) 09/30/2026

Worker Type Permanent

Language(s) Required English

At FCC, we’re proud to be 100% invested in Canadian agriculture and food. As a federal Crown corporation, we provide financing, knowledge resources and business management software to over 103,000 customers nationwide.

Here’s what you can expect when you join our team:

• Competitive total rewards packages: market‑aligned and performance‑based salary and incentive programs, flexible and comprehensive group benefit and savings plans, and well‑being support through benefits and wellness programs
• Purpose‑driven work:
  We build strong relationships, share knowledge and support the people who feed the world
• Growth:
  Learning and development opportunities to help you thrive
• Hybrid work options

As a Senior Developer, you’ll play a critical role in ensuring FCC’s lending data is trusted, accurate, timely and ready to drive decision‑making across the organization. As a senior technical contributor, you will design and build modern, cloud‑based data pipelines that move loan‑related data from lending systems into data marts for our financial models to consume. Your work will directly enable high‑quality reporting, risk analysis and financial insights that support FCC’s business and strategic objectives.

In this role, you’ll collaborate closely with product owners, analysts, architects and other developers to design end‑to‑end data solutions, while also remaining hands‑on with coding, testing and deployment. Beyond delivery, you’ll guide and mentor other developers by sharing best practices and promoting strong engineering and data development standards.

• Develop, test and deploy high‑quality code using Python, PySpark and SQL in a cloud‑based environment
• Lead technical and solution design sessions within an Agile development team
• Use modern data engineering practices and Data Vault 2.0 methodologies to design, build and maintain ETL data pipelines
• Ensure technical solutions, pipelines and data models are fit for purpose, aligned with enterprise standards and maintained in the most efficient and effective manner
• Collaborate closely with product owners, analysts, architects and internal data consumers across Reporting, Risk and Finance
• Act as an informal technical leader by mentoring and coaching developers, leading code reviews and providing constructive feedback to team members
• Improve pipeline reliability and maturity by enhancing automation, integration testing and CI practices across the data development lifecycle

• Bachelor’s degree in computer science, software engineering, data science or an equivalent field
• Minimum six years of software development experience (or an equivalent combination of education and experience)
• Expert‑level proficiency in some or all of the following AWS technologies: AWS Glue, Step Functions, S3, Redshift, Quicksight, Lambda, Eventbridge or Sagemaker
• Expert level proficiency in Python and/or Py Spark
• Extensive experience designing and building ETL data pipelines
• Data modelling experience in both Data Vault 2.0 and Dimensional (Star Schema) methodologies
• Proven knowledge of common design patterns and when to apply them, such as object‑oriented programming (OOP) and functional programming (FP) paradigms
• Experience optimizing design to enable business value creation
• Demonstrated experience with application design and system integration
• Demonstrated experience with modern approaches to code reviews, version control and continuous integration
• Foundational knowledge of financial…