Software Engineer III-ETL/PySpark

Job Responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Develops secure high-quality production code
Contributes to software engineering communities of practice and events that explore new and emerging technologies.
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability 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
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.

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Previous experience in Data Engineering with background in both legacy and modern tech stack - Ab Initio, Teradata, PySpark, AWS Cloud, and Snowflake
• Expertise in Python programming language and SQL
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Demonstrated proficiency in automation and continuous delivery methods
• Demonstrated proficiency in all aspects of the Software Development Life Cycle
• 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
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Practical cloud native experience

Preferred Qualifications, Capabilities, And Skills

• Previous experience working on credit card related projects
• Working knowledge of DBT, Airflow, Data Modelling

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.