How you'll make an impact

Put your data engineering expertise into practice by solving complex data problems, building reliable and modern data pipelines, and making a meaningful impact through both technical leadership and collaboration.

As a Senior Data 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. Acting 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.

What you'll do

• Develop, test, and deploy high‑quality code using Python, PySpark, and SQL in a cloud‑based environment

• Use modern data engineering practices and Data Vault 2.0 methodologies to design, build, and maintain ETL data pipelines

• Move lending data from source systems into the enterprise Business Vault

• 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 data processing application design sessions

• Improve pipeline reliability and maturity by enhancing automation, integration testing, and CI practices across the data development lifecycle

• Implement code fixes and support user testing

What you'll bring to the team

Required qualifications

• Bachelor’s degree in computer science or software engineering

• Minimum 10 years of software or data development experience (or an equivalent combination of education and experience)

• Expert-level proficiency in some or all 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

• Proven troubleshooting skills

Preferred qualifications

• Strong experience with ETL processes and data modelling expertise

• Experience coaching and mentoring peers (informal leadership)

• Experience building automation and integration tests and designing easy-to-use frameworks

• Experience with Sagemaker

• Working knowledge of Typescript

Not sure you meet every requirement? We encourage you to apply anyway.