Data Engineer - Fixed Income

Role Overview

We are seeking a highly skilled Senior Data Engineer with a proven background in designing, building, and optimizing data platforms within the financial services domain. The ideal candidate will have deep hands-on experience in data movement, data pipeline development, and platform engineering, along with strong knowledge of Fixed Income products and financial datasets.
This role requires someone who has built data solutions not just consumed or analyzed data and can collaborate with business and technology teams to deliver high-performance, scalable data systems.

Key Responsibilities

• Design, develop, and maintain data pipelines, ETL workflows, and data integration frameworks to support trading, risk, and reporting systems.
• Engineer and automate data ingestion, transformation, and movement across multiple source systems and data platforms.
• Build and optimize data models, data marts, and analytical datasets for Fixed Income analytics, risk, and performance reporting.
• Collaborate with Business, Front Office, and Middle Office teams to gather data requirements and translate them into scalable technical solutions.
• Work with large, complex datasets ensuring data quality, lineage, and governance are embedded within the platform.
• Implement best practices in data engineering, including performance tuning, error handling, and version control.
• Support data platform enhancements, performance optimization, and cloud migration initiatives.
• Contribute to platform architecture discussions and ensure alignment with enterprise data strategy.

Required Skills & Experience

• 10 years of hands-on experience in Data Engineering within financial services.
• Strong expertise in data movement and pipeline development using Python and SQL.
• Proven experience in building and maintaining data platforms (not just data consumption or analysis).
• Solid understanding of ETL design, data integration, and orchestration frameworks.
• Experience with data warehouses and distributed data processing (e.g., Snowflake, Redshift, Databricks, or similar).
• Deep understanding of Fixed Income data bonds, MBS, ABS, yield curves, spreads, duration, etc.
• Strong collaboration and communication skills with ability to work closely with business and technology stakeholders.

Nice to Have

• Experience with AWS data services (Glue, S3, Lambda, EMR, Redshift).
• Exposure to data platform modernization or cloud migration projects.
• Familiarity with data governance, lineage, and metadata management.
• Knowledge of BI/reporting tools (Power BI, Tableau).
• Understanding of Market Risk, Pricing, and Performance Analytics.

Education

Bachelor s degree in Computer Science, Engineering, Finance, or related field (Master s Preferred)