Data Engineer

What You'll Do

• Own and extend our customer data ingestion platform
• Build and maintain large-scale data pipelines powering AI products and customer workflows
• Design systems for syncing customer data across external platforms, CRMs, and third-party systems
• Help architect our future data lake, retrieval layer, and data infrastructure strategy
• Build ingestion and querying systems for lead, account, enrichment, and customer knowledge data
• Create the infrastructure that gives our AI workers access to the information they need to reason, act, and improve over time
• Partner closely with product and engineering teams to unlock new AI product capabilities
• Improve reliability, observability, performance, and scalability across our data stack
• Contribute across backend systems and infrastructure, not just traditional data engineering projects
• Push ideas into production quickly instead of over-optimizing in planning phases

What We're Looking For

• 4+ years of software engineering or data engineering experience
• Strong experience building and maintaining production-grade data systems and pipelines
• Experience with Python and Typescript
• Strong backend engineering fundamentals beyond traditional data engineering
• High agency — you naturally move things forward without waiting for direction
• Comfort operating in ambiguity and building without a playbook
• Strong systems thinking and architectural intuition
• Ability to balance speed with long-term scalability
• Strong problem-solving skills and a willingness to own problems end-to-end
• Hungry to grow. You want expanding scope, responsibility, and ownership over time
• Excitement about AI-native workflows and the future of software development

Nice to Have

• Experience with ClickHouse or other columnar databases
• Experience building customer data platforms (CDPs)
• Experience with Airbyte or similar data integration and ingestion platforms
• Experience with CRM integrations and synchronization systems
• Experience designing data lake architecture
• Experience supporting AI or ML products
• You've used tools like Claude Code, Codex, Cursor, or similar heavily in your workflow
• You care deeply about engineering velocity and iteration speed