JOB DESCRIPTION Job Title: Data Engineer – Institutional Securities TechnologyLocation: 750 Seventh Ave, New York, NY 10019Duration: 12 MonthsPay Rate: $77.30/hour (W2)Work Authorization: Only candidates who can work independently on W2 Job Overview: Bank’s Institutional Securities Technology team is seeking an experienced Data Engineer to support the development of next-generation Data Quality (DQ) and Client Confidentiality platforms. These platforms are used across various divisions and play a critical role in managing and analyzing large volumes of financial data. The ideal candidate will have a strong background in Python development, database technologies, and data engineering in high-performance environments. Key Responsibilities: Design, develop, and maintain robust data pipelines using Python. Support onboarding of internal users to the Data Quality platform. Work with a range of databases (DB2, Greenplum, Snowflake, PostgreSQL, KDB, SingleStore). Implement and optimize SQL queries, stored procedures, and data models. Handle data in multiple formats (CSV, JSON) and perform advanced analytics using Pandas/NumPy. Integrate with message queues (Kafka) and job scheduling tools (Autosys). Collaborate with DevOps and other teams using Git, Jira, and Artifactory. Write comprehensive unit tests (pytest) and maintain code quality. Troubleshoot data issues and assist in anomaly detection across systems. Required Skills: Strong proficiency in Python and object-oriented programming Advanced SQL and database design experience Hands-on experience with data platforms such as Snowflake, DB2, and PostgreSQL Familiarity with Pandas, NumPy, and data wrangling techniques Kafka integration experience Unix shell scripting and file handling Experience using Git, Jira, and Autosys Unit testing using tools like pytest Ability to analyze, debug, and ensure data quality at scale Excellent communication and self-management in fast-paced environments Preferred Skills (Good to Have): Experience working with Data Quality infrastructure Knowledge of anomaly detection algorithms (isolation forest, clustering, time series analysis) Familiarity with model monitoring, debugging, and logging systems Exposure to containerized environments and deployment of ML services Apply Now to be a part of a high-impact data engineering team in a leading financial institution, contributing to platforms that drive global securities technology. Job Type: Contract Pay: $77.30 per hour Expected hours: 40 per week Benefits: Health insurance Schedule: 8 hour shift Ability to Commute: New York, NY 10019 (Required) Ability to Relocate: New York, NY 10019: Relocate before starting work (Required) Work Location: In person