Key skills
Backend distributed systemsLarge-scale data platformsData processing systemsDatabasesData pipelinesFault toleranceMonitoringData modelingSchema designMarketing technologyAttribution platformsCustomer segmentation platformsData governancePII securityAI
About this role
Upstart is an AI lending marketplace focused on reducing the cost and complexity of borrowing. As a Software Engineer on the Foundations team, you will scale and extend backend data systems to support marketing initiatives, partnering with various stakeholders to enhance data workflows.
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