Skills
Data Pipelines
Schema Design
Data Quality & Observability
About the Role
Join our team as a Member of Technical Staff focused on Agent Data. You will design end-to-end data pipelines that ingest, validate, and transform accounting data into dependable datasets. Your work will help define schemas and data contracts that preserve correctness while still supporting iteration and experimentation.
Responsibilities
- Build data pipelines to ingest, validate, and transform accounting data into clean, reliable datasets
- Define schemas and data contracts that balance flexibility with data correctness
- Implement validation, lineage tracking, and drift detection across pipelines
- Create interfaces that make datasets discoverable, computable, and observable throughout the system
- Partner with AI researchers to optimize datasets and pipelines for iterative experimentation and multi-agent coordination
Requirements
- Experience designing and operating data pipelines (ingestion, transformation, validation)
- Strong understanding of schema design and data contracts
- Familiarity with data quality techniques such as validation, lineage, and drift detection
- Ability to build data interfaces that support discoverability and observability
Benefits
- Opportunity to work at the intersection of data engineering and AI research
- Collaborative environment focused on iterative experimentation
- Impactful work enabling reliable datasets for multi-agent systems
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