Travel data, airline settlement, and distribution infrastructure for the aviation industry
Airlines Reporting Corporation operates critical settlement and data infrastructure for the aviation ecosystem. The engineering-heavy hiring mix (18 of 25 open roles) paired with active projects around chaos testing, infrastructure-as-code, and enterprise architecture signals a maturation phase—moving from manual settlement processes toward automated, resilient systems. AWS-native stack (Aurora, Redshift, Lambda, DynamoDB) supports real-time data ingestion and settlement at scale, while ongoing work on environment drift reduction and capacity planning indicates operational scaling challenges.
ARC provides financial settlement, travel data, and distribution services to airlines, travel agencies, and travel intermediaries. Founded in 1984 and headquartered in Arlington, Virginia, with offices in Louisville and Tampa, the company operates as a mission-critical intermediary connecting airlines, agencies, and distribution partners. The core business spans airline sales data analytics, financial settlement processing, and flexible distribution infrastructure. Current focus areas include customer onboarding automation, multi-source data integration, payment fraud reduction, and system resilience—reflecting both growth and operational complexity.
ARC uses AWS-native infrastructure (Aurora, Redshift, RDS, Lambda, DynamoDB) with security layers (WAF, Security Hub, Cognito). Data and CI/CD tooling include OpenSearch, Datadog, Jenkins, Terraform, and SonarQube. Primary languages are Python, Java, JavaScript, and Node.js with React frontend.
Active projects include end-to-end airline customer onboarding, multi-source data acquisition and integration, chaos testing for system resilience, infrastructure-as-code implementation, and enterprise architecture standardization. Parallel initiatives target payment fraud reduction, service cost reduction, and manual process automation.
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Airlines Reporting Corporation (ARC)'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.