We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Platform Software Engineer III- ETL / AWS / Python / Pyspark at JPMorgan Chase within the Asset and Wealth Management 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 problems
• Designs, develops, and implements scalable data pipelines and ETL batches using Python/Py Spark on AWS
• Uses infrastructure as code tools to build applications to orchestrate and monitor data pipelines, create and manage on-demand compute resources on cloud programmatically, and create frameworks to ingest and distribute data at scale
• Stays up-to-date with emerging technologies and industry trends to drive innovation and continuous improvement
• Leverage AI coding assist tools to accelerate software development, testing and delivery
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement 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

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 software development and data engineering, with demonstrable hands-on experience in Python and Py Spark
• Proven experience with cloud platforms such as AWS, Azure, or Google Cloud
• Good understanding of data modeling, data architecture, ETL processes, and data warehousing concepts
• Experience or good knowledge of cloud native ETL platforms like Snowflake and/or Databricks
• Experience with big data technologies and services like AWS EMRs, Redshift, Lambda, S3
• Proven experience with efficient Cloud DevOps practices and CI/CD tools like Jenkins/Gitlab, for data engineering platforms
• Good knowledge of SQL and NoSQL databases, including performance tuning and optimization
• Experience with declarative infra provisioning tools like Terraform, Ansible or CloudFormation
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

Preferred qualifications, capabilities, and skills

• Knowledge of machine learning model lifecycle, AI coding assist tools, and cloud-native MLOps pipelines and frameworks
• Familiarity with data visualization tools and data integration patterns