> Markdown version of [/jobs/ext/3973730-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/3973730-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Interactive Brokers - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $200,000.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Data Analysis, Data Files, Data Governance, Extract Transform Load (ETL), Linux, Python (Programming Language), Oracle Databases, Oracle (Applications), Sql Optimization, Pandas, Data Lakes, Information Technology, Data Pipelines - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-data-engineer-chicago-il--d38b8261-352d-4d5f-a7af-a6046595b8ba ## About the Role Brokerage, Hedge Funds, Automation, Leading Edge Technology, Technical Delivery, Data Analysis, Analysis Skills, Data Sets, Data Lake, Campaigns, 5+ years in data pipeline development (Python, Java is a bonus)Advanced Python proficiency (Pandas or Polars)Strong Oracle/SQL optimization expertise2-3 years of Linux systems experienceBachelor's or Master's in Computer Science or related field ## Description Own and maintain datasets supporting attribution, campaign performance, and customer lifecycle analysisDesign, build, launch and maintain robust data pipelines and data lake architecture for both batch and real-time streaming use casesDevelop dbt workflows to onboard warehouse data and optimize ETL/ELT workflows for performance, scalability, and fault toleranceBuild scalable analytical infrastructure for reporting and visualizationBuild and support data orchestration and automation of workflowsDevelop standardized frameworks for attribution modeling and performance evaluationPartner with analytics, and product teams to translate business needs into data solutionsCollaborate with engineers, product managers, and data scientists to understand data needs, identify data opportunities and deploy reliable data productsOptimize Oracle databases and data models for high-performance queryingDrive continuous improvement in attribution methodologies and data governance practices