Lead Software Engineer - Data Engineer

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank (CIB) - Regulatory Reporting Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities


* Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems, with a focus on data engineering and Spark-based ETL/ELT


* Develops secure high-quality production code in Python/PySpark and Spark SQL, and reviews and debugs code written by others (Spark jobs, SQL logic, and data issues end-to-end)


* Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.


* Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.


* Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems, including data pipeline reliability and lakehouse maintenance automation


* Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture (e.g., EMR/Databricks, lakehouse/table formats, catalog/governance patterns)


* Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies, especially around Spark performance, Iceberg best practices, and data platform operations


* Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 5+ years applied experience


* 5+ years of applied experience building production data engineering and/or software engineering solutions (design, development, testing, operations)


* Hands-on practical experience delive...