Staff Engineer, Data Platform
NationGraph2 months ago
Toronto, CanadaStaff+
Responsibilities
- Own the external data platform end-to-end.
- Design systems for data discovery, acquisition, extraction, normalization, entity resolution, validation, storage, serving, and monitoring.
- Establish the architecture and abstractions used by other engineers.
- Develop systems that handle changing schemas, broken sources, conflicting records, and other messy real-world data.
- Use LLMs, agents, and emerging models to discover sources, understand schemas, extract structured information, resolve entities, monitor quality, and detect source changes.
- Build proprietary data flywheels and continuously expand the underlying knowledge graph.
- Define technical direction for acquiring and representing public-sector information and make long-term platform investment decisions.
- Partner with Product, ML Research, and Infrastructure on data acquisition and platform strategy.
Requirements
- Be an unusually strong engineer who enjoys working with data and has owned significant production data systems end-to-end.
- Strong proficiency in Python, Go, or another systems/backend language and high proficiency with SQL.
- Understand distributed data systems, including orchestration, idempotency, backfills, retries, observability, lineage, and failure recovery.
- Have experience with one or more of large-scale external data, crawling, information retrieval, entity resolution, knowledge graphs, or document processing.
- Be interested in using LLMs and modern ML as components of data infrastructure.
- Care deeply about data quality, correctness, and reliability.
- Demonstrate strong product judgment about which data is worth acquiring.
- Thrive in ambiguity and be able to create architecture rather than receive a predefined design.
- Backgrounds in alternative data, quantitative research infrastructure, search and crawling, AI data infrastructure, knowledge graphs, large-scale document processing, or data aggregation are of interest but are not required.
Benefits
- Significant ownership over technical decisions, platform architecture, and product outcomes.
- Opportunity to solve a foundational, genuinely difficult public-sector data problem and build a proprietary data advantage.
- Work closely with the CEO, CTO, and a small engineering and research team with backgrounds in infrastructure, quantitative finance, AI, and startups.
- Fast-moving environment with little bureaucracy and substantial technical ownership.
Tech Stack
Categories
Data EngineeringML Engineering
About NationGraph
NationGraph builds a subscription platform that aggregates and analyzes public-sector data—purchase orders, meeting minutes, procurement rules—to give B2G sales teams real-time buying signals and proactive alerts. Founded in 2024 and headquartered in San Francisco, it targets companies selling to cities, states, schools, and special districts. The company is privately held and raised a Series A in 2026 to expand its public-sector sales intelligence and workflow automation tools.