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Data Engineer
Job
Compunnel, Inc.
Jersey City, NJ (In Person)
Full-Time
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Job Description
JOB SUMMARY
We are seeking a highly experienced software engineer to lead the design and development of next-generation trading systems. This is a hands-on technical leadership role focused on building scalable, resilient, and high-performance trading infrastructure. You'll collaborate across teams, mentor engineers, and drive innovation in a mission-critical environment. Key Responsibilities- Design, develop, and optimize KDB+ databases and q analytics for high-volume trading and market data.
- Develop Python-based AI and quantitative models for research, prediction, classification, and signal generation.
- Apply machine learning techniques to time-series data (feature engineering, model training, evaluation).
- Build research and backtesting frameworks integrating AI models with historical data.
- Translate quantitative and ML research into robust, production-ready systems.
- Integrate AI models into real-time and batch pipelines.
- Optimize analytics and model evaluation for performance, stability, and scalability.
- Collaborate with quants, product owners, and engineering teams on model deployment and monitoring.
- Support production systems and participate in on-call rotations, including occasional weekend support. Required Qualifications
- Bachelor's degree in Mathematics, Computer Science, Engineering, Information Technology, or equivalent.
- 10+ years professional experience in quantitative finance or trading systems.
- Advanced proficiency in KDB+/q, including time-series data modeling, high-performance querying and joins, and real-time and historical analytics.
- Strong Python skills for quantitative analysis, AI / ML model development, and integration with KDB+ and downstream systems.
- Experience working with large-scale, high-frequency, or noisy datasets.
- Solid software engineering practices (Git, testing, modular design).
- Hands-on experience in AWS or other cloud platforms.
- Experience in Linux, shell scripting, and production support. Preferred Qualifications
- Worked with AI developer assist tools (e.g. GitHub Copilot).
- Experience with CI/CD tools such as GitHub, Maven, Jenkins, Artifactory, and uDeploy.
- Familiarity with object-oriented programming languages such as Java.
- A strong quantitative mindset with practical AI application skills.
- Ability to bridge research, machine learning, and production systems.
- Comfort working on front-office or research-critical infrastructure.
- Clear communicator with quants, traders, and engineers.