Senior Data Engineer

This is a hybrid role (3 days in the office/2 days remote).

About Your Team:

Our Financial Crimes Surveillance team seeks a Senior Data Engineer to play a critical role in protecting the financial system. You'll architect, implement, optimize, and maintain sophisticated data pipelines that power real-time and batch surveillance models that pinpoint fraud, market manipulation, and money laundering across our platform.

The Scale & Impact:

• Process 1+ billion order events and 5+ million trades daily
• Protect 3.5+ million client accounts
• Direct impact on financial security and regulatory compliance

What will be your responsibilities within IBKR:

• Data Architecture & Stewardship
  • Own and curate dozens of mission-critical datasets that drive surveillance operations.
  • Design, build, and automate robust data pipelines supporting real-time and batch processing.
  • Develop advanced data quality frameworks to proactively identify issues before they impact operations.
• Cross-Functional Partnership
  • Collaborate with quantitative engineers and surveillance model developers to translate complex business requirements into scalable data solutions.
  • Transform high-level surveillance concepts into production-ready processes that deliver actionable insights.
• Technical Excellence
  • Build an analytical infrastructure enabling seamless data exploration and visualization
  • Optimize data architectures and databases for maximum performance and reliability
  • Create developer tooling that accelerates pipeline development and monitoring
  • Ensure data accuracy, security, and compliance with regulatory standards
• Innovation & Optimization
  • Continuously enhance system reliability, performance, and efficiency
  • Load and format datasets for optimal consumption by quantitative researchers and ML models
  • Drive best practices in data governance and privacy protection

Which skills are required:

• 5+ years of professional software engineering with a focus on data pipeline development (Python or Java)
• 3+ years of production Python experience beyond scripting
• Expert-level proficiency in Pandas or Polars
• 1-3 years of hands-on Linux systems experience
• Deep understanding of databases and SQL optimization
• Bachelor's or master's degree in computer science or a related technical field

Preferred Qualifications:

• Financial services or fintech background
• Proficiency in C++ or Java
• Advanced degree (Master's/PhD)

To be successful in this position, you will have:

• Self-motivation and able to handle tasks with minimal supervision.
• Superb analytical and problem-solving skills.
• Excellent collaboration and communication (Verbal and written) skills.
• Outstanding organizational and time management skills.

Company Benefits & Perks