Staff Engineer, Data Platform
NationGraphResponsibilities
- 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
About NationGraph
NationGraph is transforming public sector sales by unlocking a single source of truth for every government purchase decision. We empower sales teams with real-time insights - covering purchase orders, meeting minutes, procurement rules, and more - so they can bypass endless spreadsheets and focus on building genuine relationships. We provide: Actionable Data: Access organized insights into purchase orders, decision-maker signals, and contract timelines in one platform. Proactive Workflows: Get automated alerts when key events, like RFP releases or upcoming renewals, occur - cutting weeks off your prospecting cycle. Deep Context: Leverage parsed meeting minutes and regulatory insights to understand the “who, what, when, where, and why” behind every transaction. NationGraph is on a mission to make public sector sales more transparent and efficient. We’re here to decode the chaos, empowering you to seize opportunities that others miss. We are backed by public-sector investing veterans like XYZ Venture Capital who have backed industry leaders such as Anduril, Apex Space, and Verkada - along with Reach Capital, Go Global Ventures, and angel investors who have founded and build iconic companies like OpenGov and Clever. Join us as transform how government data is accessed and used and help reshape how the public sector connects with the vendors Learn more or schedule a demo at NationGraph.com We're also hiring exceptional talent in engineering, data science, AI & ML, and go-to-market.