Principal Data Engineer
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The role
Lead the design and scaling of fault-tolerant batch and streaming data pipelines that process hundreds of thousands of context-rich product signals.
Build semantic layers and data products to deliver reusable insights for analytics, ML models, and autonomous agents.
Implement programmatic discovery via metadata, MCP, and knowledge graphs to enable easy signal definition and reuse.
Apply software engineering best practices to data systems, including testing, CI/CD, and observability, while enabling autonomous agent reasoning.
Contribute to a trusted data foundation powering decisions and adaptive products, collaborating with telemetry engineers, data scientists, and AI builders.
Based in Mexico City with hybrid/remote options and a clear path to impact across cross-functional teams.
Build semantic layers and data products to deliver reusable insights for analytics, ML models, and autonomous agents.
Implement programmatic discovery via metadata, MCP, and knowledge graphs to enable easy signal definition and reuse.
Apply software engineering best practices to data systems, including testing, CI/CD, and observability, while enabling autonomous agent reasoning.
Contribute to a trusted data foundation powering decisions and adaptive products, collaborating with telemetry engineers, data scientists, and AI builders.
Based in Mexico City with hybrid/remote options and a clear path to impact across cross-functional teams.
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