Senior Azure Data Engineer – Compliance & Surveillance Platforms #3605704

Join a global financial technology environment supporting compliance, surveillance, and fraud-prevention platforms for a major banking organization. This team works in a highly regulated, fast-moving setting where data engineering, platform reliability, and production support directly support risk management, legal, and regulatory obligations. The role partners closely with business stakeholders, technical teams, and external vendors to enhance Azure Databricks and compliance surveillance solutions that help protect the organization and its customers.

Engagement: W2 only (no C2C/1099)

This is a long-term hybrid opportunity based in Charlotte, NC, supporting critical compliance technology initiatives. The role offers exposure to enterprise-scale Azure data engineering, vendor platform integration, production support, system upgrades, and compliance-driven technology delivery.

• Design, build, and enhance scalable data pipelines using Azure Databricks, Azure Data Lake, Python, SQL, and related cloud data technologies.
• Support compliance and surveillance platforms by developing custom rules, workflows, configurations, and integrations.
• Partner with business users, vendors, support teams, and technical stakeholders to translate requirements into reliable data engineering solutions.
• Troubleshoot complex issues across environments, perform root cause analysis, and improve system stability.
• Develop and execute unit and integration test cases to validate enhancements, releases, and upgrades.
• Support production systems in a high-transaction environment, including escalation support for critical issues.
• Participate in system implementations, go-lives, and occasional evening or weekend deployment support.
• Create technical documentation for requirements, design, implementation, testing, and support processes.

• 5+ years of experience implementing enterprise technologies, data platforms, or vendor-based systems.
• Strong hands-on experience with Azure Databricks and Azure Data Lake.
• Strong Python development experience for data engineering, automation, and platform customization.
• Strong SQL experience, including SQL Server, Oracle/PL-SQL, stored procedures, and relational database concepts.
• Experience building ingestion, transformation, integration, and storage pipelines in complex enterprise environments.
• Experience with IT development, system design, data analysis, and integration across multiple platforms.
• Familiarity with compliance, surveillance, fraud detection, or corporate compliance systems is strongly preferred.
• Actimize experience is preferred.
• Power BI and Power Apps experience is a plus.
• Bachelor’s degree in Computer Science or a related field is preferred.
• Strong analytical, troubleshooting, communication, and documentation skills.
• Ability to manage multiple priorities independently in a fast-paced, regulated environment.