Software Engineer III - Tableau BI Developer

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III at JPMorgan Chase, within the Commercial & Investment Bank, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a Senior Tableau BI Developer you will  build high-visibility dashboards, mentor developers, manage backlog, and integrate diverse data. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. 

Job responsibilities

• Significant experience developing production BI solutions, with expert-level Tableau skills
• Demonstrated ability to design, build, optimize, and troubleshoot complex, highly visible Tableau dashboards, including performance tuning and usability
• Hands-on experience with Tableau dashboard embedding and both packaged (.twbx) and un-packaged (.twb) workbooks
• Experience working with varied data types and structures, and connecting Tableau to data warehouses and multiple database platforms
• Strong knowledge of data warehouse concepts, data modeling, and live and extract-based data connections
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• 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.
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience 
• Hands-on practical experience in system design, application development, testing, and operational stability
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Extensive experience designing, consuming, and troubleshooting APIs, including REST APIs and BI platform integrations
• Working experience with Python for automation, data processing, or BI development
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Experience using GitHub Copilot and understanding techniques for integrating AI-assisted development into team workflows
• Ability to translate business requirements into secure, accessible, maintainable dashboards and data visualizations
• Experience validating data accuracy and dashboard functionality, usability, and performance
• Experience with ETL tools such as Alteryx 

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Strong analytical, problem-solving, organizational, written, and verbal communication skills
• Ability to build effective relationships, document technical solutions, and work effectively in Agile delivery teams
• Exposure to cloud technologies