1. What is a Data Engineer at LexisNexis Risk Solutions?
A Data Engineer at LexisNexis Risk Solutions plays a critical role in powering the data-driven products that industries rely on for fraud prevention, identity verification, and risk assessment. The company manages petabytes of complex, multi-sourced data, making the engineering pipelines that ingest, clean, and structure this information the backbone of the entire business. Without robust data engineering, the advanced analytics and risk models used by financial institutions, insurance providers, and government agencies would not function.
In this role, you will work within a highly specialized data ecosystem. Unlike standard open-source big data environments, LexisNexis Risk Solutions utilizes its own proprietary big data platform, HPCC Systems (High-Performance Computing Cluster), which runs on a declarative programming language called ECL (Enterprise Control Language). As a Data Engineer, your day-to-day work will involve taking data ingestion scripts provided by upstream teams, adapting them into standardized templates, and executing them at scale to ensure seamless data flow.
Joining the team means taking on significant operational responsibility. Your work directly impacts product reliability and data freshness, which is why scalability, optimization, and system stability are always top of mind. If you enjoy solving massive data challenges, mastering proprietary enterprise technologies, and taking ownership of end-to-end data delivery, this role offers an exceptionally impactful and technically rewarding career path.



