Quantitative Data Engineer

Quantitative Software Engineer - Data EngineeringOur client is a leading proprietary trading firm headquartered in Chicago seeking a Quantitative Software Engineer to join their Front Office Data Engineering team. The firm's team integrates innovative technology and trading strategies while utilizing a sophisticated research platform and development environment to realize consistent trading alphas.As a Quant Data Engineer, you'll collaborate closely with various departments within the organization and your primary responsibility will involve constructing and maintaining data ingestion processes of varying complexity that drive investment decisions and support critical operations.In this dynamic role, you'll also be involved in developing and managing the platforms, tools, and systems essential for running and monitoring these processes. The ideal candidate will thrive in a fast-paced environment, enjoy direct interaction with business stakeholders, and excel at delivering results under pressure.Responsibilities:Be a key player in the newly established and fast-growing Data Engineering team, driving the future of data innovation across the company.Spearhead the design and expansion of a cutting-edge data platform, seamlessly integrating diverse data sources for real-time, operational, and research-driven insights.Partner with Trading, Quant, Technology, and Business Operations teams to deliver high-impact data projects that shape our competitive edge.Architect and deploy advanced batch and streaming data pipelines using Kubernetes/EKS, Kafka/MSK, and Databricks/Spark within a dynamic hybrid cloud environment.Inspire and mentor junior engineers, setting the standard for excellence in software and data engineering practices.Craft clean, robust, and meticulously documented code, ensuring the reliability of mission-critical applications.Lead the creation of automated data validation suites, upholding the highest standards of data quality, availability, and accuracy in line with strict SLAs.Requirements & Qualifications:3 plus years of professional experience in software application development; finance or big tech experience would be beneficial.Proficiency in Java/Scala is essential; Python experience is a strong advantage.Self-driven and ready to take ownership of impactful projects from day one.Hands-on experience with data platforms and technologies like Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino.Proven track record of building large-scale batch and streaming pipelines with stringent SLA and data quality standards.Strong communication, analytical, and problem-solving abilities.Experience working with diverse data sets and frameworks across various domains; financial data experience is a plus but not required.Recent hands-on experience with AWS Cloud development, deployment, and monitoring.Demonstrated success in working on Agile teams using software engineering best practices like GitOps and CI/CD for complex projects.Excellent opportunity with a high-performing trading team rewarding package on offer with high growth career progression.

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