Build and maintain scalable backend data systems and pipelines supporting audience segmentation, marketing attribution, and customer acquisition at a leading AI lending platform.
142k – 196k
Remote3+ YOEBackend Engineering
About the role
How you’ll make an impact
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
Minimum Qualifications
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
Preferred Qualifications
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
Design and build backend services powering automated verification workflows, financial data integrations, and approval decisioning for lending products. Requires 3+ years building distributed systems in Kotlin or Java.
142k – 197k
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