Key skills
AI
About this role
Upstart is a leading AI lending marketplace focused on reducing the cost and complexity of borrowing for Americans. As a Software Engineer on the Foundations team, you will build and maintain scalable backend systems and data pipelines that support marketing initiatives, collaborating with various stakeholders to enhance data workflows and ensure high-quality marketing data availability.
Responsibilities:
- Build and maintain scalable backend systems and data pipelines that support audience segmentation and marketing attribution workflows
- Partner with product managers, marketers, and engineers to deliver data solutions that support customer acquisition and conversion goals
- Extend existing data infrastructure to support increasing data volumes, evolving business requirements, and new integrations
- Contribute to data quality initiatives by implementing monitoring, validation, and guardrail mechanisms across critical datasets
- Participate in technical discussions around architecture, access patterns, and platform scalability to support long-term platform growth
Requirements:
- Bachelor's degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) plus 3 years of software engineering experience
- 3+ years of experience building and maintaining backend distributed systems or large-scale data platforms
- Experience working with data processing systems, databases, or data pipelines in production environments
- Experience implementing fault tolerance, monitoring, and observability practices for backend systems
- Experience collaborating cross-functionally with engineering, product, or business stakeholders to deliver technical solutions
- Knowledge of data modeling and schema design best practices for large-scale data systems
- Experience supporting marketing technology, attribution, or customer segmentation platforms
- Familiarity with data governance, privacy, and PII security considerations
- Ability to balance short-term feature delivery with long-term platform maintainability and scalability
- Experience contributing to architectural discussions and improving engineering best practices across teams