Senior Data Engineer — Real-Time Pipelines & Attribution

Interactive Brokers; Greenwich (CT); Hybrid; USD 200,000 - 250,000; Full time

Benefits offered by this job

Stock grant and performance bonus

401(k) with company match

Comprehensive health benefits

Wellness programs

Job summary

Interactive Brokers in Greenwich, CT is seeking a senior data engineer to own and maintain datasets supporting attribution, campaign performance, and customer lifecycle analysis. You will design and automate data pipelines for real-time and batch processing, build scalable analytics infrastructure, and collaborate with analytics and product teams.

Requires 5+ years in data pipeline development (Python, Java a bonus), advanced Python with Pandas/Polars, Oracle/SQL optimization, Tableau, and 2–3

Qualifications

• 5+ years in data pipeline development (Python, Java a bonus).
• Advanced Python proficiency (Pandas or Polars).
• Strong Oracle/SQL optimization expertise.
• Experience with Tableau.
• 2–3 years of Linux systems experience.
• Bachelor's or Master's in Computer Science or related field.

Responsibilities

• Own and maintain datasets supporting attribution, campaign performance, and customer lifecycle analysis.
• Design and automate data pipelines for real-time and batch processing of behavioral data.
• Build scalable analytical infrastructure for reporting and visualization.
• Develop standardized frameworks for attribution modeling and performance evaluation.
• Partner with analytics, and product teams to translate business needs into data solutions.
• Optimize Oracle databases and data models for high-performance querying.
• Drive continuous improvement in attribution methodologies and data governance practices.

Skills

Data pipeline development

Python

SQL optimization

Tableau

Linux

Education

Bachelor's or Master's in Computer Science

Tools

Oracle Database

Job description

Interactive Brokers in Greenwich, CT is seeking a senior data engineer to own and maintain datasets supporting attribution, campaign performance, and customer lifecycle analysis. You will design and automate data pipelines for real-time and batch processing, build scalable analytics infrastructure, and collaborate with analytics and product teams.

Requires 5+ years in data pipeline development (Python, Java a bonus), advanced Python with Pandas/Polars, Oracle/SQL optimization, Tableau, and 2–3