Staff Engineer, Data Platform
Core
Building the end-to-end technical ecosystem to discover, acquire, normalize, and serve fragmented public-sector government data for businesses selling to government.
Role type
Staff Engineer, Data Platform
Builds
Proprietary data advantage by connecting millions of sources across 110,000+ US state/local agencies, federal data, and eventually global public-sector information.
Domain
Public sector data aggregation, government information infrastructure, applied AI
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Go, SQL, distributed data systems, data modeling, entity resolution, knowledge graphs, LLMs and agents, document processing, system architecture
Preferred skills
alternative data, quantitative research infrastructure, search and crawling, AI data infrastructure, large-scale document processing, data aggregation
Technologies
PostgreSQL, Redis, Docker, Kubernetes, LLMs, agents, proprietary models
Responsibilities
Design systems spanning discovery, acquisition, extraction, normalization, validation, storage, serving, and monitoring; map the world of government data; build systems for messy real-world data; use AI to rethink the traditional data stack; set technical direction for data acquisition and representation.
Seniority
Staff, hands-on IC with architectural ownership
