Senior Data Integration Engineer New York, NY DIE26-06669

Job Title:SeniorData Integration Engineer
Location:New York NY

Important Notes:

• Must be eligible for Security Clearance.
• Only candidates with 10 years of experience will be considered.

Position Overview

We are seeking a Senior Data Integration Engineer to design develop and support scalable data integration solutions for Counterparty Credit Risk (CCR) platforms. The ideal candidate will have strong experience with Python SQL Databricks and PySpark and a proven background in risk data ETL development and financial services.

Key Responsibilities

• Design develop and maintain scalable data pipelines for counterparty trade collateral and market data integration.
• Build and support ETL/ELT solutions using Python PySpark Databricks and SQL.
• Integrate risk and trading data into Counterparty Credit Risk (CCR) calculation and reporting platforms.
• Partner with Risk Business Analysts and Technology teams to gather requirements and deliver data solutions.
• Ensure data quality reconciliation monitoring and governance across risk data platforms.
• Support exposure analytics including EPE PFE EAD stress testing and regulatory reporting.
• Investigate and resolve data and production issues through root cause analysis and permanent fixes.
• Implement automation monitoring and operational improvements to enhance platform reliability.
• Lead platform enhancements migrations and strategic data initiatives.
• Maintain technical documentation and support audit and regulatory data requests.

Required Qualifications

• 10 years of experience in Python development and advanced SQL programming.
• 5 years of experience in Data Engineering Data Integration or Enterprise Data Management within Financial Services.
• 3 years supporting Risk Exposure Management or Counterparty Credit Risk platforms in a senior technical leadership capacity.
• 3 years of hands-on experience with Databricks and PySpark for large-scale data processing and ETL development.
• Experience working within globally distributed support and delivery models.

Technical Skills

• Strong experience with Python SQL PySpark Databricks and Snowflake.
• Experience building ETL/ELT pipelines and large-scale data integration solutions.
• Knowledge of Counterparty Credit Risk (CCR) including EPE PFE EAD collateral and exposure management.
• Experience with Azure Cloud Data Lakes ADF and distributed data processing frameworks.
• Familiarity with CI/CD tools such as Jenkins GitLab CI or Azure DevOps.
• Experience working in Agile environments using JIRA and Confluence.

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