Python Data Engineer / Quant Developer

Location: New York / New Jersey- Local candidates only

Openings: 1

Experience: 15+ Years

Interview: Video Interview

Work Authorization: U.S. Citizens & GC Position Summary= seeking a highly experiencedPython Data Engineer / Quant Developer with 15+ years of professional experience. The ideal candidate will have strong hands-on expertise inPython, SQL, data engineering, and large-scale data processing, with experience supporting quantitative or financial-services environments preferred.

Key Responsibilities: Design and develop scalable data-processing solutions usingPython and SQL. Build and maintain data pipelines and analytical workflows. Work with large and complex datasets for quantitative and business analysis. Perform data transformation, cleansing, validation, and reconciliation. Develop reusable Python components for data-intensive applications. Optimize SQL queries and data-processing performance. Troubleshoot production data and application issues. Collaborate with quantitative analysts, developers, data engineers, and business teams. Support testing, deployment, documentation, and production activities.

Required Skills: 15+ years of overall IT experience. Strong hands‑onPython development experience. AdvancedSQL skills. StrongData Engineering experience. Experience working withlarge-scale datasets. Strong analytical, troubleshooting, and problem-solving abilities. Excellent communication and collaboration skills.

Preferred Skills: Quantitative development experience. Banking or financial-services experience. Experience supporting data-intensive, analytical, or risk-related applications. Experience with high-volume financial or transactional data environments. Nyc, New York, United States 10167 +1 more location

Salary Range: $000,000 – $000,000 Salary range is not shown on the candidate portal