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.

The vision for the Data@ Affirm team is to enable a culture that empowers everyone by the use of actionable, reliable, and readily available data when building a product or making a decision. Our team is responsible for frameworks for all things data including the OLAP storage, data replication, macro-batch processing, stream processing, data modeling, data exploration, data visualization, etc. Affirm is growing rapidly and so is the need for reliable and high availability frameworks. If solving infrastructure challenges at scale excites you, come join us!

What you’ll do

  • Design and build data infrastructure systems, services and tools to handle new Affirm products and business requirements that securely scale over millions of users and their transactions.
  • Build frameworks and services which will be used by other engineering teams at Affirm to manage billions of dollars in loans and power customer experiences.
  • Improve the reliability and efficiency of our core systems.
  • Work cross-functionally with various engineering and analytics teams to identify and execute on new opportunities in data infrastructure.

What we look for

  • Experience building and owning large-scale, geographically distributed backend systems.
  • Skilled at developing and debugging in one or more programming languages.
  • Working knowledge of Relational and NoSQL databases.
  • Experience building scalable data processing systems using MapReduce and Spark.
  • Knowledge of Python/Kotlin or the ability to learn them quickly.
  • Experience with (or want to learn about) operating system internals, filesystems, databases, network, concurrency frameworks.
  • Experience with AWS and/or other cloud providers.
  • Eager to learn new things and have a growth mindset.
  • Experience working in the data infrastructure domain is a plus.
  • Working knowledge of OLAP systems like Snowflake or Redshift is a plus.
  • BS, MS or PhD in Computer Science, Engineering or a related technical field.
Location
We’re excited to announce that Affirm is now a remote-first company! This role can be located anywhere in the U.S. and Canada (with the exception of Quebec). Remote based employees may occasionally travel to an Affirm office for meetings or team building events. Our offices in San Francisco, New York City, Pittsburgh, Chicago, and Salt Lake City will remain operational and accessible for anyone to use on a voluntary basis.
 
#LI-Remote
Check out our remote-first approach to learn more about the new ways we work.
 
If you got this far, we hope you're feeling excited about this role. Even if you don't feel you meet every single requirement, we still encourage you to apply. We're eager to meet people who believe in Affirm's mission and can contribute to our team in a variety of ways—not just candidates who check all the boxes.

At Affirm, People Come First is one of our core values, and that’s why diversity and inclusion are vital to our priorities as an equal opportunity employer. You can read about our D&I program here and our progress thus far in our 2020 DEI Report.

We also 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.

By clicking "Submit Application," you acknowledge that you have read the Affirm Employment Privacy Policy, or the Affirm Employment Privacy Notice (EU) for applicants applying from the European Union, and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of my personal information as described therein.

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Affirm is dedicated to building a diverse team and an inclusive culture. We believe that it’s crucial to Affirm’s long-term success to create an environment where all Affirmers feel like they belong and have an equal opportunity to succeed.

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