Python- AI Software Engineer III

JPMorgan Chase; Wilmington (DE); Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

JPMorgan Chase in Wilmington, DE is seeking a Software Engineer III to design, build, and maintain scalable backend data engineering solutions powering critical financial reporting and analytics. You will work with cross‑functional teams to deliver data pipelines and platform modules for enterprise-scale decision making.

Responsibilities include developing secure production Python code and PySpark pipelines, deploying on Databricks, and leveraging AI-assisted development tools while ensuring

Formación

• 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 one or more modern programming languages and database querying languages.
• Proficiency in Python backend development with hands-on experience building and optimizing PySpark data pipelines in production environments.
• Demonstrated experience with Databricks, including module development, deployment, and ongoing operational support.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of databases (Snowflake, Databricks, SQL, DB2 or NOSQL)

Responsabilidades

• Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down complex technical problems
• Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems, with a focus on Python backend development and PySpark-based data processing
• Build, deploy, and support scalable data engineering modules on Databricks, ensuring reliable performance, maintainability, and alignment with platform architecture standards
• Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables, while validating outputs through peer review, automated testing, and secure coding standards
• Apply 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
• Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse financial data sets in service of continuous improvement of software applications and systems
• Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture
• Participate in code reviews, providing and incorporating constructive feedback to elevate code quality and engineering standards across the team
• Collaborate with product managers, architects, and cross-functional engineering teams to translate finance business requirements into scalable technical solutions

Conocimientos

Python backend development

PySpark data pipelines

Data engineering

Collaborative teamwork

AI-assisted development usage

Educación

Software engineering certification

Herramientas

Databricks

Snowflake

SQL

DB2

NOSQL

Apache Spark

AWS (EMR/Glue/ECS/EKS)

Descripción del empleo

Python- AI Software Engineer III

Wilmington, DE, United States

Job Information

• Job Identification 210793600
• Job Category Software Engineering
• Business Unit Consumer & Community Banking
• Posting Date 11/02/2026, 08:02 PM
• Locations 880 Powder Mill Rd, Wilmington, DE, 19803, US
• Job Schedule Full time
• Job Shift Day

Job Description

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 III at JPMorgan Chase within the Corporate Sector, you will design, build, and maintain scalable backend data engineering solutions that power critical financial reporting and analytics capabilities across the firm. You will work closely with cross-functional teams to deliver high-quality, reliable data pipelines and platform modules that support data-driven financial decision-making at enterprise scale. Your work will directly influence how the firm processes, manages, and leverages financial data to serve millions of customers and stakeholders every day.

Job responsibilities

• Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down complex technical problems
• Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems, with a focus on Python backend development and PySpark-based data processing
• Build, deploy, and support scalable data engineering modules on Databricks, ensuring reliable performance, maintainability, and alignment with platform architecture standards
• Leverage 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; contribute learnings and reusable patterns to improve broader team effectiveness
• Apply 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
• Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse financial data sets in service of continuous improvement of software applications and systems
• Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture
• Participate in code reviews, providing and incorporating constructive feedback to continuously elevate code quality and engineering standards across the team
• Collaborate with product managers, architects, and cross-functional engineering teams to translate finance business requirements into scalable technical solutions

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 one or more modern programming languages and database querying languages
• Proficiency in Python backend development with hands‑on experience building and optimizing PySpark data pipelines in production environments
• Demonstrated experience with Databricks, including module development, deployment, and ongoing operational support
• 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
• Solid understanding of databases (Snowflake, Databricks, SQL, DB2 or NOSQL)

Preferred qualifications, capabilities, and skills

• Experience with Apache Spark, Kafka, or similar distributed data processing frameworks in a large-scale enterprise environment
• Exposure to cloud-native development and AWS services, particularly AWS EMR, Glue, ECS, EKS (Elastic Kubernetes Service) for deploying and managing containerized applications
• Exposure to AI/ML data platforms

About Us

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs (https://careers.jpmorgan.com/us/en/how-we-hire/faqs) for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

About the Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.