Software Engineer III - Python/PySpark/Databricks/AWS

JPMorganChase • Wilmington, NC

2d

About The Position

As a Software Engineer III on JPMorgan Chase’s Corporate Sector–Global Finance team, you will be a key member of an agile team designing and delivering secure, stable, and scalable products. You will implement technology solutions across diverse technical domains to support the firm’s business goals. The role focuses on building and optimizing data pipelines and workflows, applying sound data-management practices, and developing production software using Python, PySpark, Databricks, and AWS. It also involves designing complex applications, maintaining operational stability, and using enterprise-authorized AI coding tools responsibly to improve engineering quality and productivity.

Requirements

• Formal training or certification in software engineering concepts and at least 3 years of applied experience.
• Experience with Spark and SQL.
• Expertise in Lakehouse/Delta Lake architecture, system design, application development, testing, and operational stability.
• Strong programming skills in Python/PySpark, Databricks, AWS Glue, S3, SQS/SNS, Lambda, and SQL.
• Proficiency in orchestration using Airflow.
• In-depth knowledge of Big Data and data warehousing concepts.
• Experience with CI/CD processes.
• Solid understanding of agile methodologies, including DevOps practices, application resiliency, and security measures.
• Proven expertise in software applications and technical processes within a specialized technical domain.
• Hands-on experience with enterprise-authorized AI-assisted software-development tools, with the 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, secure handling of inputs and outputs, and adherence to resiliency and security expectations.
• Ability to guide peers on safe and effective use of AI-assisted tools within team practices.

Nice To Haves

• Familiarity with Snowflake, Terraform, and LLMs.
• Familiarity with data observability, data quality, query optimization, and cost optimization.
• AWS certifications such as Solutions Architect Associate, Associate Developer, or Data Analytics Specialty, or a Databricks certification.

Responsibilities

• Develop and optimize data pipelines and workflows for data integration, transformation, and analysis.
• Implement data-management best practices to ensure data quality, security, and compliance.
• Write secure, high-quality production code following AWS best practices and deploy it efficiently using CI/CD pipelines.
• Create architecture and design documents for complex applications and ensure software code meets design constraints.
• Use enterprise-authorized AI coding assistance to improve code quality, delivery speed, and productivity; validate outputs through peer review, automated testing, and secure coding standards.
• Contribute learnings and reusable patterns to improve broader team effectiveness.
• Use software-development lifecycle tools, including authorized AI-assisted development and automation capabilities, to improve the value realized from automation.
• Identify hidden issues and patterns in data to improve coding practices and system architecture.
• Apply responsible AI practices, including considering data sensitivity and securely handling inputs and outputs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed