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Senior Software Engineer, Foundations

167k – 231kUnited StatesRemote5+ YOE
Summary

Senior engineer building and scaling backend data platforms for marketing audience segmentation, attribution, and customer acquisition workflows at an AI lending company.

About the role

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

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field (or equivalent) + 4 years of experience
  • 5+ 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

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
Skills
Backend SystemsDistributed SystemsData PipelinesData ProcessingDatabasesFault ToleranceMonitoringObservabilityData ModelingSchema DesignData GovernancePII Security
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