About the role

What will you do at Charles Schwab?

Your Opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

As an ETL Software Engineer supporting Financial Crime Risk Management (FCRM), you will play a critical role in strengthening the platforms that help protect Schwab, our clients, and the financial system. Working within a highly collaborative environment, you will develop, enhance, and support enterprise applications that power financial crime detection, monitoring, and regulatory compliance.

You’ll partner closely with technology, operations, compliance, and business stakeholders to deliver secure, scalable, and resilient solutions that drive meaningful business outcomes.

In this role, you will

help modernize critical platforms by supporting data integration initiatives, improving batch and real-time processing systems, optimizing data warehouse solutions, and contributing to migration efforts from legacy on-premises applications to future-state technologies. Your ability to analyze complex problems, troubleshoot production issues, and implement sustainable solutions will directly influence system reliability, operational effectiveness, and regulatory readiness. As part of a team that values continuous improvement, innovation, and knowledge sharing, you will have opportunities to expand your expertise across cloud technologies, enterprise data platforms, application modernization, and financial crime risk management solutions.
What you have
Required Qualifications
Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience
1+ years of experience developing, supporting, and optimizing Oracle database solutions, including PL/SQL packages, stored procedures, functions, and triggers
2+ years of experience with SQL development and data warehousing concepts
2+ years of hands-on experience developing ETL solutions using Informatica Intelligent Cloud Services (IICS)
1+ years of experience writing Unix/Linux shell scripts
Experience troubleshooting complex applications, data integration processes, and production support issues
Demonstrated problem-solving skills with the ability to analyze root causes, evaluate alternatives, and implement effective solutions
Ability to collaborate across technical and business teams while adapting to changing priorities and business needs
Strong written and verbal communication skills with the ability to explain technical concepts to diverse audiences
Experience working with large-scale data processing, system performance optimization, and data quality initiatives

Preferred Qualifications

1+ years of experience supporting Oracle FCCM/FCRM version 8.0 or higher
1+ years of experience supporting Anti-Money Laundering (AML), Financial Crime Risk Management, Anti-Bribery, or related compliance platforms
1+ years of experience converting Informatica PowerCenter solutions to IICS
1+ years of experience using Python for cloud-based applications, automation, or API integrations
1+ years of experience using GitHub and GitHub Copilot
Experience within the financial services industry
Experience working within an Agile/Scrum environment
Knowledge of enterprise application modernization and migration initiatives
Understanding of software development lifecycle (SDLC) practices and enterprise engineering standards
Experience supporting large-scale data integration, analytics, and data platform environments
Familiarity with regulatory requirements and compliance frameworks related to financial crime monitoring and surveillance

Which skills does this role require?

PL/SQLSQLInformatica Intelligent Cloud ServicesUnixLinuxShell ScriptingData WarehousingSystem Performance OptimizationETLCloud TechnologiesRegulatory ComplianceData QualitySystem PerformanceDatabase SolutionsMachine Learning

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