Senior Developer (Lending Data Engineering)
About The Position
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 and informal technical lead, you will design and build modern, cloud-based data pipelines that move loan-related data from lending systems into the enterprise Business Vault using Data Vault 2.0 methodologies. 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, influencing architectural decisions, and promoting strong engineering and data development standards.
Requirements
- Bachelor’s degree in computer science or software engineering
- Minimum 10 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, Sagemaker, and AppFlow
- Expert level proficiency in Python and/or PySpark
- 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 services concepts such as loans, credit scores, and risk data
Nice To Haves
- Experience coaching and mentoring peers (informal leadership)
- Experience building automation and integration tests and designing easy-to-use frameworks
- Working knowledge of Typescript
Responsibilities
- Develop, test, and deploy high‑quality code using Python, PySpark, and SQL in a cloud‑based environment
- Lead technical and solution design session within an agile development team
- Influence and champion the vision for data engineering across several Lending teams
- 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
Benefits
- Competitive total rewards packages
- market-aligned and performance-based salary and incentive programs
- flexible and comprehensive group benefit and savings plans
- well-being support through benefits and wellness programs
- Learning and development opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Senior
