Software Engineer III, ETL/AI

JPMorgan Chase

Quick summary

Work type
On-site
Location
Newark, DE
Posted
2 days ago

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Salary context

How this pay compares to similar roles

Similar $191k
$143k most similar roles pay here $234k

This listing doesn't post a salary. Most similar roles pay $165,450–$216,300.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 479 open roles on FindRole.

Listed pay typically runs $142,500–$205,000 across 245 roles with salary data.

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At a glance

TL;DR · Software Engineer III, ETL/AI

As an AWS Software Engineer III-ETL/AI at JPMorgan Chase’s Commercial and Investment Banking Market Data Lake Core Data Platform team, you will be a key player in designing and delivering secure, stable, and scalable technology solutions. Your daily tasks include ensuring optimal application performance through monitoring, troubleshooting, and end-to-end production support. You must have hands-on experience with Python or Java, AWS services like S3, Redshift, SageMaker, and Lambda, as well as strong SQL skills and familiarity with Terraform for infrastructure-as-code practices. Ideal candidates also possess knowledge of Apache Spark, Airflow, Kafka, Docker, Kubernetes, and modern front-end technologies, along with exposure to Agentic AI frameworks and reinforcement learning techniques. This role demands expertise in building and operating data platforms at scale within a large corporate environment.

What you'll do

  • Ensure continuous monitoring and troubleshooting of applications in production.
  • Design and operate data platforms using AWS services like S3, Redshift, SageMaker, and Lambda.
  • Build and maintain large-scale data processing systems with Apache Spark or Hadoop.
  • Implement data orchestration workflows using tools such as Airflow.
  • Develop messaging architectures utilizing Kafka or similar technologies.
  • Deploy and manage applications in containerized environments with Docker and Kubernetes.

What we're looking for

  • 3+ years of software engineering experience with formal training or certification
  • Proficiency in Python or Java programming languages
  • Extensive hands-on experience building and operating AWS data platforms and services
  • Strong SQL skills and experience with databases like Redshift and Oracle
  • Practical use of infrastructure-as-code tooling (e.g., Terraform) in large corporate environments
  • Experience with Apache Spark for large-scale data processing
  • Familiarity with data orchestration tools such as Airflow and event-driven architectures like Kafka

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