NISC is a technology cooperative building billing, financials and operations software for electric cooperatives, public power and independent telecom providers. Payments are the clearest direction of travel: it is adopting FedNow, Apple Pay and Google Pay while job posts cite PCI-DSS, fraud and payment scaling. A Databricks, Spark, Kafka and AWS data stack alongside ArcGIS tooling shows investment in analytics and GIS-driven field operations.
Notable leadership hires: Application Development Lead
National Information Solutions Cooperative (NISC) is a member-owned cooperative headquartered in Lake Saint Louis, MO, with 1,001–5,000 employees. It develops, implements and supports software and hardware for energy cooperatives, public power entities and independent communications companies. Its product areas include customer care and billing, accounting and business management, engineering and operations, meter data management, telecom switch provisioning and electronic bill presentment. The company operates multiple U.S. facilities plus virtual offices, and its iVUE Connect suite covers utility billing and financials.
NISC runs Java, Spring Boot, Angular and TypeScript on AWS with Kubernetes, plus Databricks, Delta Lake, Spark and Kafka for data, Oracle, PostgreSQL, Cassandra and DynamoDB for storage, ArcGIS for mapping, and Salesforce.
Yes. Hiring is accelerating and engineering-heavy, mostly mid-level roles in the United States, with support and product roles next and an Application Development Lead opening.
Current work includes iVUE Connect billing and financials development, a mapping and staking product, a cloud platform, agent-based intelligent features, digital wallet integration and instant payments.
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NISC's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.