Data Engineer

• Own and evolve the core data ingestion and transformation platform
• Design, deploy, and monitor mission-critical data pipelines with high availability and strict SLO/SLI performance
• Lead migration to a unified ingestion framework with standardized CDC patterns, schema evolution, and automated data quality checks across Bronze, Silver, and Gold layers
• Design monitoring dashboards, alerting systems, and runbooks for self-serve incident diagnosis and resolution
• Enforce enterprise-wide data governance, RBAC, and data classification for security, auditability, and compliance
• Create standard pipeline templates, CI/CD automated checks, and local testing utilities to improve developer productivity
• Collaborate with Product, Analytics, Finance, and Operations to translate business needs into robust, accessible datasets
• Optimize pipeline efficiency, automate manual processes, and introduce data engineering best practices
• Support reliable real-time financial decisions for Risk, Lending, and Finance

• 4+ years in Data Engineering
• Proven track record building and operating production-grade data pipelines, ideally within a high-growth startup or fintech environment
• Bachelor’s degree in Computer Science, Software Engineering, Mathematics, or a related technical field
• Ability to design pragmatic systems with clear trade-offs, documented via Architectural Decision Records (ADRs)
• Experience taking pipelines from concept and design through deployment, live monitoring, and post-production iteration
• Strong hands-on experience with Databricks, PySpark, and Delta Lake across batch and streaming architectures
• Experience using Airflow or similar workflow orchestration tools
• Familiarity with Medallion architectures and incremental processing techniques such as CDC and merge patterns
• Clean code, testing, CI/CD pipelines, performance tuning, and Git workflows including PRs and code reviews
• Expertise implementing data quality checks, data contracts, and anomaly detection
• Ability to build monitoring dashboards, alerting frameworks, and runbooks; improve MTTR and on-call response
• Experience with fine-grained access control such as Unity Catalog, PII classification, DLP, and auditability
• Ability to translate infrastructure decisions into business impact for Risk, Finance, Product, and Operations stakeholders

• Generous salary
• Equity in the company
• Benefits that go beyond the basics to support your growth
• Opportunity to shape company technology, strategy, culture, and values
• High-impact growth opportunity
• Work alongside a world-class team
• Fast, transparent, and engaging hiring experience
• Feedback provided regardless of hiring outcome