Senior Data Engineer

Senior Data EngineerChoosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location: Dallas, TX Must have strong experience with Python, Spark and SQL. Responsibilities Responsible for handling the operational aspects of the algo and ensuring the stack is robust, scalable, and high-performing. Operational Engineering: Proactively identify and resolve technical bottlenecks in the trading lifecycle; build automated solutions to enhance desk efficiency and system reliability. Real-time Support: Provide expert-level technical troubleshooting for production trading systems, ensuring 24/7 high availability and performance in volatile market conditions. System Architecture & Optimization: Design, build, and maintain the high-performance tech and data stack powering our systematic block market-making business. Algorithmic Implementation: Translate complex quantitative pricing models and business logic into robust, production-grade code for real-time pricing and risk management. Qualifications Education: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field. A strong foundation in CS fundamentals (data structures, algorithms, and systems design) is essential. Core Languages: Expert-level proficiency in Python, Spark and SQL. You should be comfortable writing clean, scalable, and testable code. Engineering Best Practices: Deep understanding of software engineering lifecycles, including CI/CD, version control (Git), and performance profiling.