Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
At Affirm, data is fundamental to everything we do. Our data and storage solutions empower machine learning, artificial intelligence, cloud-based technologies, and other modern tools to create differential and scalable products. We prioritize building our own technology and investing in engineering talent, as we believe these are enduring competitive advantages that are difficult to replicate. Our expertise in sourcing, aggregating, protecting, and analyzing data has been what we believe to be a core competitive advantage of our platform since our founding. We use data to inform our analysis and decision-making, including risk assessment, in a way that empowers consumers and generates value for our merchants and funding sources.
Our mission is to provide trustworthy, intuitive, and cost-efficient solutions to secure, store, analyze, and transform data at exceptional scale.
We are responsible for highly available, low latency, cost efficient compliant cloud based data storage, data processing, and analytics capabilities that enable all of Affirm’s customer-facing business critical websites/applications (e.g., checkout flows, merchant APIs, etc.) as well as back-office processes (e.g., Capital Engineering, Lending, etc.). To drive innovation at our scale, we need experienced engineers to build storage, data abstraction, streaming, transformation, analytics warehouse, replication, metadata platform, data exploration, governance framework.
You will collaborate with other teams - including product, infrastructure, and site reliability engineering (SRE) to:
You will also have the opportunity to learn bleeding edge open source technologies like Kubernetes and Vitess as we build the future of Affirm’s data storage platform.
Base Pay Grade - N
Equity Grade - 4
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
ESP base pay range per year: €85,000 - €115,000
Additional benefits include:
Location - Remote Spain
We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role.
#LI-Remote
Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.
We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.
By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.
