Data Engineer
Own and extend customer data ingestion platform and large-scale pipelines powering AI workers. Build data lake, retrieval layer, and infrastructure for syncing, enriching, and querying customer data across CRMs and third-party systems.
About the job
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
Skills
Python, TypeScript, Data Pipelines, Data Ingestion, Data Lake Architecture, ClickHouse, Airbyte, Crm Integrations, Backend Engineering, Observability
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