Flag job

Report

Software Engineer II (Furnishing Platform)

Salary

€71k - €101k

Min Experience

3 years

Location

remote

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

Affirm, a pioneering fintech company, is seeking a Software Engineer II for their Furnishing Platform team. This role focuses on building scalable systems and data pipelines for consumer credit reporting, working at the intersection of financial technology and data engineering. The position offers an opportunity to work with cutting-edge technologies like Apache Spark and Airflow while contributing to Affirm's mission of providing honest financial products. The role requires collaboration with Product, Compliance, Servicing, and Credit teams to design robust reporting systems. You'll be responsible for ensuring accurate and timely data delivery from Affirm's financial product portfolio to Consumer Reporting Agencies. This is a critical position as Affirm scales its products, requiring someone who can build world-class systems that support the company's growth. The ideal candidate brings 3+ years of software engineering experience, strong Python and SQL skills, and experience with data pipeline development. You'll join a dynamic team in a remote-first environment, with competitive compensation including a base salary range of €71,000 - €101,000, comprehensive benefits, and equity opportunities. Working at Affirm means being part of a mission-driven company that's transforming financial services through technology and transparency. The role offers both technical challenges and the satisfaction of contributing to systems that directly impact consumer financial well-being. With Affirm's rapid growth and commitment to innovation, this position presents an excellent opportunity for professional growth in the fintech sector.

About the company

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without hidden fees.

Skills

python
sql
spark
airflow