Job Description
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.
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.
We are seeking an experienced Senior Data Engineer to join the Analytics Engineering team, under Engineering/Infrastructure/Data Systems and Services area.
The Analytics Engineering team is responsible for enabling the infrastructure and technologies at Affirm for building analytical use cases on top of it by multiple and diverse Analytics teams as stakeholders. This includes modern data governance and catalog, data quality monitoring and data pipelines observability. In this role, you will play a pivotal part in developing and maintaining critical infrastructure, data pipelines and systems for analytical use cases with efficiency. There is a challenging and appealing roadmap ahead, and we are looking for passionate engineers like you!
We are only just getting started! Come join us as we build a beloved, lasting financial services brand predicated on honesty and trust. It’s going to be an amazing ride!
What You'll Do
- Work with engineering managers and tech leads to identify and plan projects based on the team goals and resources.
- Work closely with tech leads, managers, and cross-functional teams within Affirm, including engineering, analytics and product to deliver technology for analytical use cases.
- Write high-quality code that can be easily understood and leveraged by others.
- Review others’ work and provide reinforcing and constructive feedback to meet our high quality standards.
- Serve as a technical resource and engineering mentor for other engineers, both inside and outside the immediate team.
- Foster a respectful and supportive environment that embraces the diversity of the team.
- On-Call Rotation - There would be an on-call rotation for this role as a requirement.
What We Look For
- 5+ years of professional experience in Data Engineering teams or similar.
- Proven working experience and fluency with SQL and DBT for data transformations.
- Proven working experience and proficiency with Python ideally, or other modern programming languages.
- Professional experience with infrastructure as code languages, like Terraform.
- Professional experience with data pipelines, data modeling, data warehouse technologies, cloud infrastructures.
- Professional experience with AWS and/or other cloud providers like Azure, GCP...
- You are not dogmatic and believe in solving problems with the right tool for the job.
- Strong cross-team communication and collaboration skills, written and verbal.
- Humility and self-awareness to understand opportunities to learn and grow. Ambiguity is where you thrive.
- Experience providing reviews on teammates code and designs, providing constructive feedback to meet a high bar of quality and help others grow.
Compensation & Benefits
Base Pay Grade - M
Equity Grade - Spain 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: €80,000 - €110,000
Additional benefits include:
- Flexible Spending Wallets for tech, food and lifestyle
- Away Days - wellness days to take off work and recharge
- Learning & Development programs
- Parental leave
- Employee Resource & Community Groups
We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role.
Location - Remote Spain
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:
- Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
- Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
- Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
- ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
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 the Affirm Employment Privacy Policy for applicants within the United States, the EU Employee Notice Regarding Use of Personal Data (Poland) for applicants applying from Poland, the EU Employee Notice Regarding Use of Personal Data (Spain) for applicants applying from Spain, or the Affirm U.K. Limited Employee Notice Regarding Use of Personal Data for applicants applying from the United Kingdom, and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.
