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

As an AWS Software Engineer III - Python/Data Pipeline at JPMorgan Chase within the Corporate Investment Banking Payments Technology team, 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. 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

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produce architecture and design artifacts for complex data platforms and pipelines, ensuring design constraints are met throughout software code development
• Build and maintain end-to-end data pipelines, including ingestion, transformation, quality, and reliability
• Enables downstream analytics and BI consumers through well designed pipelines
• 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
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment, with extensive experience in Python as the primary development language, and database querying languages
• Hands-on practical experience working in cloud technologies
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Demonstrate production-grade data engineering expertise with databases and data pipelines, including SQL, schema design, and end-to-end data flows
• Experience building BI solution on top of those pipelines, including dash boarding, as well as underlying data engineering work required to feed tools like Thought Spot

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to AWS cloud technologies and frameworks
• Strong experience in one or more programming languages (e.g., Java, Python, C#, JavaScript/TypeScript).
• Agile best practices, methodologies and Project Management experience
• Familiarity with modern frameworks and libraries relevant to the team’s tech stack.