Senior Azure Data Engineer (Databricks & Compliance Technology)

Be Part Of A High-Performing Team

Join the technology division of a global financial services organization supporting sophisticated banking operations, regulatory compliance, and enterprise risk management. This team develops and maintains data-driven applications that strengthen financial crime detection, transaction surveillance, and operational resilience.

Working alongside experienced data engineers, application specialists, business stakeholders, and external technology partners, you will help enhance critical compliance systems using modern Microsoft Azure technologies. The environment combines cloud data engineering, enterprise application development, and complex financial services workflows, offering an opportunity to contribute to business-critical technology solutions.

What's In Store For You

• Work Arrangement: Hybrid - Jersey City, NJ.
• Engagement: W2 only (no C2C/1099).
• Work on enterprise-scale cloud data platforms supporting fraud detection, surveillance, and regulatory compliance.
• Collaborate with specialists in Azure Databricks, enterprise data integration, and financial crime technology.
• Contribute to platform enhancements, application integrations, production improvements, and modernization initiatives.
• Gain exposure to highly transactional financial systems where data accuracy, system reliability, and regulatory compliance are essential.

How You Will Make An Impact

• Design, develop, and enhance scalable data solutions using Azure Databricks, Azure Data Lake, Python, and SQL.
• Build and maintain reliable data ingestion, transformation, and integration pipelines supporting compliance and surveillance applications.
• Develop custom processing logic, application configurations, and data workflows to support complex financial transaction monitoring requirements.
• Collaborate with application specialists to integrate cloud-based data solutions with enterprise compliance platforms.
• Optimize SQL queries, stored procedures, data transformations, and database interactions to improve application performance and processing efficiency.
• Analyze business requirements and translate complex functional needs into maintainable technical designs and implementations.
• Investigate production incidents, perform root cause analysis, and implement permanent solutions that improve system stability.
• Develop and execute unit and integration tests to validate system changes, data accuracy, and application functionality.
• Coordinate application upgrades, technology enhancements, and production releases with development teams, vendors, and business stakeholders.
• Provide advanced production support for critical systems, including participation in occasional evening or weekend deployments.
• Maintain technical documentation covering data flows, system integrations, configurations, troubleshooting procedures, and implementation activities.
• Manage concurrent development priorities while maintaining delivery quality and responsiveness to business needs.

Requirements

Do You Bring Proven Success In Azure Data Engineering And Enterprise Data Integration?

• 5+ years of experience implementing enterprise technology solutions, including data engineering, application development, or systems integration. Senior-level experience of 10+ years is preferred.
• Strong hands-on experience with Azure Databricks, including data transformation, workflow development, and pipeline optimization.
• Practical experience with Azure Data Lake and cloud-based data ingestion, processing, and storage.
• Proficiency in Python for data processing, automation, and custom application logic.
• Advanced SQL development skills, including complex queries, stored procedures, and relational database optimization.
• Experience working with SQL Server, Oracle, or PL/SQL in enterprise environments.
• Understanding of data architecture, system integration, data analysis, and development lifecycle practices.
• Experience troubleshooting production applications and resolving complex technical issues across interconnected systems.
• Familiarity with Microsoft Power BI and Power Apps for data visualization, reporting, or business applications.
• Experience with fraud detection, transaction monitoring, surveillance, or financial services compliance platforms is beneficial.
• Exposure to NICE Actimize or comparable financial crime technology is strongly preferred.
• Ability to collaborate effectively with technical specialists, business users, vendors, and cross-functional stakeholders.
• Strong analytical skills, independent problem-solving abilities, and experience balancing competing priorities.
• Excellent communication skills with the ability to document and explain complex technical solutions clearly.
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field preferred.