Data Engineer – Capital Markets
Summary
This role involves designing and maintaining scalable ETL/ELT data pipelines and data models to support capital markets, fraud screening, and financial crimes initiatives. The engineer will work with Python, SQL, and Snowflake on cloud platforms to ensure data quality and security.
Job Description
We are seeking a skilled Data Engineer with Capital Markets experience to design, build, and optimize scalable data pipelines supporting business intelligence, analytics, and AI initiatives.
The ideal candidate will have strong expertise in data engineering, data integration, data modeling, cloud data platforms, Fraud Screening, and Financial Crimes.
Responsibilities
Design, develop, and maintain robust ETL/ELT data pipelines.
Build and optimize large-scale data warehouses and data lakes.
Develop data models supporting reporting, analytics, and operational requirements.
Ensure data quality, integrity, governance, and security across platforms.
Work with structured and unstructured data from multiple sources.
Collaborate with business analysts, data scientists, and application teams.
Optimize SQL queries and data processing for performance and scalability.
Implement cloud-based data solutions using AWS, Azure, or GCP.
Automate data workflows, monitoring, and data quality processes using modern data engineering tools.
Support AI/ML initiatives by providing reliable and high-quality datasets.
Work with teams supporting Capital Markets, Fraud Screening, and Financial Crimes use cases.
Required Skills
8–10 years of Data Engineering experience.
Strong Capital Markets domain experience.
Experience with Fraud Screening and Financial Crimes.
Strong Python skills.
Strong Snowflake experience.
Hands-on experience with ETL/ELT pipelines and data integration.
Strong SQL and data modeling experience.
Experience with cloud platforms such as AWS, Azure, or GCP.
Experience with data warehouses and data lakes.
Strong understanding of data quality, governance, and security.
Willingness to work onsite in New York, NY.
As published by recruitee
Full name, Email, CV, Cover letter, Phone
- Are you a U.S.C , GC, GC-EAD or H4-EAD? yes / no
- Do you have 8–10 years of professional Data Engineering experience? yes / no
- Do you have hands-on Capital Markets experience? yes / no
- Do you have experience with Fraud Screening? yes / no
- Do you have experience with Financial Crimes? yes / no
- Are you comfortable working 100% on-site in New York, NY? yes / no
- Are you willing to work on W2 at $50–$55/hour? yes / no