Data Engineer

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Finance · Enterprise SaaS

Description For Data Engineer

Join JPMorgan Chase's Fusion Data Management Team as a Software Engineer III Data Engineering, where you'll play a crucial role in designing and delivering trusted market-leading technology products. As a seasoned member of an agile team, you'll be responsible for implementing critical technology solutions across multiple technical areas within various business functions.

The role involves executing software solutions, design, development, and technical troubleshooting with an innovative approach. You'll create secure and high-quality production code, maintain algorithms, and produce architecture designs for complex applications. The position requires expertise in Python, data pipeline development, and cloud technologies, particularly AWS.

Working within the Commercial & Investment Bank division, you'll be part of a global leader in financial services. The team focuses on providing strategic advice and products to prominent corporations, governments, and institutional investors worldwide. This role offers an opportunity to work with large, diverse data sets, develop visualizations, and drive improvements to coding hygiene and system architecture.

Key technical requirements include strong Python skills, experience with Fast API, data pipeline development using Python/Java/Pyspark, and proficiency with AWS tools. You'll need solid database skills and understanding of data modeling concepts, along with experience in large corporate environments.

This position offers the chance to contribute to software engineering communities of practice, explore emerging technologies, and be part of a culture that values diversity, equity, and inclusion. Join a team that's shaping the future of financial technology while working with cutting-edge data engineering tools and methodologies.

Last updated 6 minutes ago

Responsibilities For Data Engineer

  • Executes software solutions, design, development, and technical troubleshooting
  • Creates secure and high-quality production code and maintains algorithms
  • Produces architecture and design artifacts for complex applications
  • Gathers, analyzes, synthesizes, and develops visualizations from large data sets
  • Identifies hidden problems and patterns in data
  • Contributes to software engineering communities of practice
  • Adds to team culture of diversity, equity, inclusion, and respect

Requirements For Data Engineer

Python
Java
MongoDB
PostgreSQL
  • Excellent Python knowledge with experience with Web application frameworks such as Fast API
  • Experience in building data pipelines using Python / Java / Pyspark
  • Working knowledge in Java, AWS and relevant cloud tools like Glue, Lambda
  • Strong database skills and data modelling concepts
  • Experience in developing, debugging, and maintaining code in a large corporate environment
  • Knowledge of Software Development Life Cycle
  • Understanding of agile methodologies, CI/CD, Application Resiliency, and Security

Benefits For Data Engineer

Medical Insurance
Mental Health Assistance
  • Equal opportunity employer
  • Mental health accommodations
  • Religious practice accommodations
  • Physical disability accommodations

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