Software Engineer III - LexisNexis Risk Solutions

Key Responsibilities

• Design, develop, and maintain high‑throughput data pipelines that ingest, transform, and serve aviation data to internal and external stakeholders.
• Implement machine‑learning models and feature engineering workflows in Python, integrating them into production services on AWS.
• Collaborate with data scientists, product managers, and DevOps to translate business requirements into scalable, maintainable code.
• Optimize query performance and storage using SQL and columnar data stores, ensuring low latency for analytical workloads.
• Automate deployment and monitoring with Docker, Kubernetes, and CI/CD pipelines, ensuring high availability and observability.

Requirements

• 5+ years of professional software development experience, with a strong focus on backend services.
• Proficiency in Python, SQL, and experience building data pipelines with Airflow or similar orchestrators.
• Hands‑on experience deploying and scaling services on AWS (EC2, ECS, Lambda, S3, Redshift).
• Solid understanding of machine‑learning concepts and experience integrating ML models into production.
• Excellent problem‑solving skills, strong communication, and a collaborative mindset.