Quantitative Data Engineer

Role: Quantitative Data Engineer Location: New York, NY (Hybrid 3 Days a Week Onsite) Duration: 12 Months (Contract to Hire) Job Description: We are seeking a Quantitative Data Engineer to support Quant teams in enhancing and modernizing statistical risk models on cloud platforms. The role focuses on building Spark-based data engineering pipelines using Databricks and Snowflake and reengineering legacy C++/Java quantitative models into scalable Python and PySpark solutions with improved latency. Key Responsibilities: • Develop data engineering pipelines using Spark on cloud platforms • Modernize legacy statistical risk models from C++/Java into Python/PySpark • Work closely with Quantitative Strategists and Statistical Modelers to build, enhance, and test scenarios • Support a seamless model lifecycle from design and implementation through training and production deployment • Develop, run, and infer machine learning and statistical models on the cloud • Design reusable components, utilities, and out-of-the-box architectures to improve modeler experience • Assess risks in design and development upfront and identify process improvements • Plan and coordinate data and process migrations across databases • Participate as a senior team member, provide thought leadership, mentor junior developers, and lead new initiatives such as cloud strategy • Support Quant teams in running scenario analyses to evaluate business impact under different conditions Required Skills & Experience: • 10+ years of total experience • C++ and Java experience • Python, Spark, PySpark, and PyTorch • Experience working with Quant or ML models • Knowledge of Machine Learning, Statistics, and model development, training, and inference • Strong understanding of ML tools including MLflow, Databricks, and Snowflake • Strong SQL and database programming skills (views, stored procedures, triggers, referential integrity, performance coding) • RDBMS experience (DB2, Teradata, Oracle, or Snowflake) • Unix/Linux programming experience (shell and/or Perl) • Strong design, problem-solving, communication, and leadership skills • Organization, discipline, detail orientation, self-motivation, and delivery focus Preferred Qualifications: • Financial industry experience • Interest in GenAI and Agentic AI • Data engineering principles and risk model development experience • ETL experience with Informatica • Cloud database experience (Azure, Snowflake) • Experience with Scala, Spark, C++, or PyTorch • Experience migrating Java code to Python/PySpark • Experience with AngularJS or KDB Education: • Bachelor’s degree required • Master’s degree preferred (Engineering, Computer Science, or Mathematics) Russell Tobin is a leading minority-owned professional and technical recruitment and staffing advisory organization. We are comprised of specialized practices focusing on a variety of skill sets and industries. Having a depth and breadth of industry expertise, our subject matter experts are able to provide tailored and swift sourcing solutions to fulfill client hiring needs. In other words, we connect top talent with companies. We are the staffing arm of the Pride Global network, a minority-owned integrated human capital solutions firm, with additional offerings in vendor management, payroll programs, and business process optimization. Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors. Equal Employment Opportunity Russell Tobin is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law. Fair Chance Employment Russell Tobin is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances. Accommodations We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us. Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation.