You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorgan Chase within the Asset & Wealth Management, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

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. Create and maintain optimal data workflow architecture. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development. Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python, Spark and AWS. 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, equity, inclusion, and respect

 

 

Required qualifications, capabilities, and skills

 

Formal training or certification on software engineering concepts and 2+ years applied experience Experience as a Data Engineer. Must have experience with Python, Spark and AWS. Hands-on with AWS cloud services: EMR, Terraform, Cloudwatch, Redshift Experience with relational SQL and NoSQL databases Familiarity with Hadoop or suitable equivalent

 

 

Preferred qualifications, capabilities, and skills

 

Good to have knowledge in Data visualization tools like Microsoft BI/Qliksense Exposure to cloud technologies