Own datasets for attribution, campaign performance, and customer lifecycle analysis. Design real-time and batch data pipelines, build scalable analytics infrastructure, develop attribution frameworks, optimize Oracle databases and SQL data models, and improve data governance. Partner with analytics and product teams to translate business needs into data solutions.
This is Hybrid role (3 days in office / 2 day remote)
About Interactive Brokers:
Interactive Brokers (IBKR) is one of the world's largest and most technologically advanced electronic brokerage firms, serving individual investors, hedge funds, proprietary trading groups, financial advisors, and introducing brokers globally. With a strong foundation built on innovation and automation, IBKR provides clients with access to over 150 markets across 200+ countries and territories. We are a data-driven organization that leverages cutting-edge technology to deliver best-in-class trading solutions, and our teams thrive in a fast-paced, intellectually rigorous environment where data and analytics are at the core of every decision.
What will be your responsibilities within IBKR:
- Own and maintain datasets supporting attribution, campaign performance, and customer lifecycle analysis
- Design, build, launch and maintain robust data pipelines and data lake architecture for both batch and real-time streaming use cases
- Develop dbt workflows to onboard warehouse data and optimize ETL/ELT workflows for performance, scalability, and fault tolerance
- Build scalable analytical infrastructure for reporting and visualization
- Build and support data orchestration and automation of workflows
- Develop standardized frameworks for attribution modeling and performance evaluation
- Partner with analytics, and product teams to translate business needs into data solutions
- Collaborate with engineers, product managers, and data scientists to understand data needs, identify data opportunities and deploy reliable data products
- Optimize Oracle databases and data models for high-performance querying
- Drive continuous improvement in attribution methodologies and data governance practices
What required skill’s you need:
- 5+ years in data pipeline development (Python, Java is a bonus)
- Advanced Python proficiency (Pandas or Polars)
- Strong Oracle/SQL optimization expertise
- 2–3 years of Linux systems experience
- Bachelor's or Master's in Computer Science or related field
Company Benefits & Perks
- Competitive salary, annual performance-based bonus and stock grant
- Retirement plan 401(k) with competitive company match
- Excellent health and wellness benefits, including medical, dental, and vision benefits. Company paid medical healthcare premium.
- Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP)
- Daily company lunch allowance provided and a fully stocked kitchen with healthy options for breakfast and snacks
- Corporate events including team outings, dinners, volunteer activities and company sports teams
- Education reimbursement and learning opportunities
This role's anticipated base salary range is 200,000 to 250,000 annually based on skill's and experience. The offered salary is just part of the total compensation package. In addition to a competitive salary, the company offers both a discretionary cash bonus and stock award as well as a wide range of benefits, including health care, tuition reimbursement and much more
Interactive Brokers New York, New York, USA Office
New York, United States
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