Software Engineer III, Big Data & AWS

JPMorgan Chase

Quick summary

Work type
On-site
Location
Plano, TX
Posted
3 days ago

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Salary context

How this pay compares to similar roles

Similar $173k
$126k most similar roles pay here $220k

This listing doesn't post a salary. Most similar roles pay $134,725–$211,200.

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 436 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.

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At a glance

TL;DR · Software Engineer III, Big Data & AWS

As a Software Engineer III at JPMorganChase in the Consumer and Investment Banking division, you will join an agile team dedicated to creating market-leading technology products. Your responsibilities include processing large datasets with Apache Spark on platforms like Redshift and Databricks, designing scalable data pipelines using AWS services such as S3, EMR, Glue, and Lambda, and implementing continuous deployment processes with Terraform. You will also develop semantic layers for data consumption using Iceberg tables and APIs, set up automated data workflows with Step Functions and EventBridge, and troubleshoot issues related to application code and data pipelines. This role requires expertise in Python, AWS services, and Big Data technologies, as well as a strong understanding of infrastructure as code practices.

What you'll do

  • Process and analyze large datasets with Apache Spark on various platforms.
  • Design and implement scalable data pipelines using AWS services and Python.
  • Configure AWS services like S3, Databricks, and Lambda for automation.
  • Develop semantic layers for data consumption using Iceberg tables and APIs.
  • Implement continuous deployment processes with Infrastructure as Code tools.

What we're looking for

  • Extensive experience with Big Data technologies like Apache Spark on Redshift, SQL DB, RDS, and Databricks.
  • Proficient in designing and implementing scalable data pipelines using Python on AWS services.
  • Expertise in configuring AWS services such as S3, Databricks, Step Functions, EMR, Glue, Lambda, RDS, EventBridge, and API Gateway.
  • Development of semantic layers for data consumption with Iceberg tables and APIs.
  • Skilled in continuous deployment and integration using Infrastructure as Code tools like Terraform.

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