Senior Developer (lending Data Engineering)

Howyou'llmake an impact

Put your engineeringexpertiseinto practice by solvingcomplicatedproblemsin our internallending software bybuildingreliable and modern datapipelines andmakinga meaningful impact through both technical leadership and collaboration.

As a SeniorDeveloper,you’llplay 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 strategicobjectives.

In this role,you’llcollaborate closely with product owners, analysts, architects, and other developers to design end‑to‑end data solutions, while alsoremaininghands‑on with coding, testing, and deployment. Beyond delivery,you’llguide and mentor other developers by sharing best practices, influencing architectural decisions, and promoting strong engineering and data development standards.

Whatyou'lldo

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

• Lead technical and solution design sessionwithin 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 maintainETLdata pipelines 

• Ensure technical solutions, pipelines and data modelsarefit for purpose, aligned with enterprise standards, andmaintainedin 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 reviewsandproviding constructive feedback to team members

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

Whatyou'llbring to the team

Requiredqualifications

• Bachelor’s degree in computer science orsoftwareengineering

• Minimum10years of softwaredevelopmentexperience(or an equivalent combination of education and experience)

• Expert-levelproficiencyin some orallofthe followingAWStechnologies:AWS Glue, StepFunctions, S3, Redshift,Quicksight, Lambda,Eventbridge,Sagemaker,andAppFlow

• Expert levelproficiencyin Pythonand/orPySpark

• Extensive experience designing and buildingETLdata 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

• Experienceoptimizingdesign to enable business value creation 

• Demonstrated experience with application design and system integration

• Demonstrated experience with modern approaches to code reviews, versioncontroland continuous integration

• Foundational knowledge of financial services concepts such as loans, credit scores, and risk data

Preferredqualifications

• Experience coaching and mentoring peers (informal leadership)

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

• Working knowledge ofTypescript