Other Open Roles
- Analyst I, Growth Analytics
- Analyst II, Credit Risk (International Markets)
- Analyst II, Forecasting Analytics
- Analyst II, Full Stack
- Analytics Manager, Internal Audit
Prior Listings
- Fraud Analytics Lead
- Sr. Analyst, Core Growth Strategy
- Senior Business Intelligence & Data Analyst
- Analyst, Client Insights
- Forecasting Analyst Lead
- Senior Client Insights & Analytics Manager
- Lead Product Manager, ML Credit
- Lead, Revenue Analytics
- Staff Machine Learning Engineer
- Lead Analyst, Marketing Analytics
- Senior Analyst, Growth Strategy (Competitive Response)
- Sr. Analyst, Marketplace Strategy & Ops
- Sr. Analyst
- Staff Analytics Engineer
- Analyst, Business Intelligence
- Sr. Model Risk Analyst
- Staff Data Engineer
- Analyst II, Credit Analytics, Full Stack
- Sr. Credit Analyst
- Sr. Product Analyst
Staff Data Engineer
Staff Data Engineer
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.
What you'll do
- Help shape the technical direction of a domain within the Data@ organization.
- Build a reliable and scalable single source of truth core model data product for internal and external analytics and enable self-service.
- Partner with product, data analyst, engineering teams and other data engineers to translate business requirements into data models with measurable transformation quality under SLA.
- Develop and automate large-scale, high-performance data processing systems and visualization to ensure reliability and meet critical business requirements.
- Lead data engineering projects, and overall strategy for data governance, security, privacy, quality, and retention.
- Mentor data engineers and continue promoting data engineering and analytics tooling & standards.
What we look for
- 7+ years of experience in data modeling, data architecture, and other areas directly relevant to data engineering.
- Technical leadership; capable of handling mentorship, cross functional project execution, and solid individual contributions.
- Advanced SQL, ETL pipelines, Data modeling & design, SQL performance tuning in OLAP and Data Warehouse/Data Lake environments
- Proficiency with programming languages (e.g. Python) and Data Warehouse technologies (NoSQL, logging, columnar, Snowflake, etc.), Big Data technologies (e.g Hadoop, Spark, etc.), analytics (Looker, Tableau, etc.)
- Familiar with data governance frameworks and Agile methodology
- Excellent written and verbal communication and interpersonal skills; able to effectively collaborate with technical and business partners.
- Eager to learn new things and have a growth mindset.
- BS/MS degrees in Computer Science, Engineering, or a related technical field.
#LI-Remote
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.
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