Software Engineer III, AWS Data Platform Engineer

JPMorgan Chase

Confirmed live today Low trust

Quick summary

Work type
On-site
Location
Plano, TX
Employment
Full-time
Posted
35 days ago
Freshness
Confirmed live today

Market check

Salary context

How this pay compares to similar roles

Similar $184k
$135k $221k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $159,475–$208,800.

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 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Software Engineer III, AWS Data Platform Engineer

As a Software Engineer III – AWS Data Platform Engineer, you will join the Corporate Sector's AI/ML & Data Platforms team to design and deliver secure, scalable technology products. You will execute software solutions, create high-quality production code, and maintain algorithms while troubleshooting complex technical problems. Your daily work involves producing architecture artifacts, developing visualizations from large datasets, and leveraging enterprise-authorized AI coding assist tools for code generation and unit test creation. You must apply knowledge of the Software Development Life Cycle, CI/CD, and application resiliency. Technical requirements include proficiency in Python or Java, database query languages, and AWS Data Management tools like Glue, EMR, Athena, Redshift, and Lake Formation. You will also manage sensitive data workloads using Terraform and other IaaS experience to ensure secure system architecture.

What does a Software Engineer earn in Texas?

Median $178175 from 187 postings across 44 companies.

See salary data

What you'll do

  • Design and develop secure, high-quality production code and maintain synchronous algorithms.
  • Execute technical troubleshooting and develop solutions for complex technical problems.
  • Use AI coding tools to generate, refactor, and document code while validating outputs for security.
  • Produce architecture and design artifacts for complex applications and ensure code meets design constraints.
  • Analyze large datasets to create visualizations and reports for continuous system improvement.
  • Identify hidden patterns in data to improve coding hygiene and system architecture.
  • Apply SDLC toolchain knowledge to improve automation value across the development lifecycle.

What we're looking for

  • Formal training or certification on software engineering concepts and 3+ years of applied experience.
  • Hands-on experience using enterprise-authorized AI-assisted software development tools to create, validate, and refine code.
  • Understanding of responsible AI use, including data sensitivity, secure handling of inputs/outputs, and security expectations.
  • Knowledge of AWS Data Management tools such as Glue, EMR, Athena, Redshift, and Lake Formation.
  • Proficiency in Python or Java and database query languages for application development and maintenance.
  • Solid understanding of agile methodologies, including CI/CD, Application Resiliency, and Security.
  • Solid knowledge of the Software Development Life Cycle.
  • Knowledge of Terraform, IaaS, AWS certifications, advanced programming certifications, or working with PCI data (preferred).

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