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 problemsCreates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systemsProduce architecture and design artifacts for complex data platforms and pipelines, ensuring design constraints are met throughout software code developmentBuild and maintain end-to-end data pipelines, including ingestion, transformation, quality, and reliabilityEnables downstream analytics and BI consumers through well designed pipelinesGathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systemsProactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architectureContributes to software engineering communities of practice and events that explore new and emerging technologiesAdds 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 stabilityExperience in developing, debugging, and maintaining code in a large corporate environment, with extensive experience in Python as the primary development language, and database querying languagesHands-on practical experience working in cloud technologiesOverall knowledge of the Software Development Life CycleSolid understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityDemonstrated 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 flowsExperience building BI solution on top of those pipelines, including dash boarding, as well as  underlying data engineering work required to feed tools like ThoughtSpot

Preferred qualifications, capabilities, and skills

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