Data Engineer

Overview

• Develop and maintain a cutting-edge market data platform supporting investment strategies.
• Collaborate with cross-functional teams to innovate data solutions and tools.
• Enhance data pipelines for improved efficiency, quality, and resilience.
• Work with financial data and various data stores like Snowflake and Redshift.
• Provide end-to-end data solutions addressing investment professionals' needs.
• Ensure robust data validation and error handling through quality tools.
• Investigate data issues and collaborate with providers for seamless integration.
• Opportunity to work in a fast-paced, innovative environment with direct exposure to senior leadership.

Key Responsibilities & Duties

• Design, build, and support a world-class data platform for diverse data types.
• Develop tools and automation capabilities for efficient data pipeline management.
• Collaborate with portfolio managers to understand and address data needs.
• Work with timeseries databases for effective data storage and querying.
• Build data quality tools ensuring validation and error handling.
• Investigate and resolve data issues with providers and internal teams.
• Contribute to the development of innovative data solutions for investment insights.
• Support the integration of alternative and unstructured data into the platform.

Job Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 4–6 years of experience in software development roles.
• Proficiency in Python and SQL for data engineering tasks.
• Excellent communication skills for collaboration with diverse teams.
• Knowledge of fixed income products like options and swaps is a plus.
• Familiarity with AWS ecosystem and streaming pipelines preferred.
• Experience with OLAP platforms and timeseries databases advantageous.
• Understanding of key financial vendors like Bloomberg and FactSet is beneficial.