We're looking for a Data Engineer to help build and maintain scalable, efficient data infrastructure in a fast-paced, highly collaborative environment. This is a hybrid role based in the Manhattan area.

In this role, you will:

Design and implement robust data architecture and pipelines Develop and manage ETL processes across multiple data sources Optimize database performance, security, and reliability Ensure data integrity through validation and quality checks Collaborate with cross-functional teams to support data-driven initiatives Identify opportunities to enhance query and processing efficiency Document systems, workflows, and data dictionaries

We’re looking for someone who:

Has proven experience in data engineering or a related field Is highly proficient in SQL and database management Understands ETL development and API integration Is skilled in Python, Java, or Scala Has experience with cloud platforms like AWS Understands data modeling, orchestration tools (e.g., Airflow), and containerization Communicates well and thrives in team settings Bonus: Background in financial services or broker-dealer environments