Data Python Software Engineer III

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Chicago, ILPlano, TX
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $169k
$107k $213k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $135,000–$202,800.

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 1238 open roles on FindRole.

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At a glance

TL;DR · Data Python Software Engineer III

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As a Data Python Software Engineer III within the Commercial & Investment Bank Global Banking Technology team, you will serve as a seasoned member of an agile team. You are responsible for designing and delivering trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. Your day-to-day work involves developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas. You will update logical or physical data models, perform statistical data analysis, and make configuration changes to generate products for business requests. You must utilize Python, SQL, and NoSQL databases while applying enterprise-authorized AI capabilities to accelerate pipeline design and documentation. Key skills include data engineering concepts, test generation, and ensuring traceability and auditability for enterprise data protection.

Skills

Python SQL NoSQL Data Engineering Data Pipelines AWS SDLC Statistical Data Analysis AI Data Analytics

What you'll do

  • Design and deliver trusted data collection, storage, access, and analytics solutions.
  • Develop, test, and maintain critical data pipelines and architectures across various business functions.
  • Use enterprise-authorized AI capabilities to accelerate data pipeline design, analysis, and documentation.
  • Make configuration and customization changes to generate products based on business or customer requests.
  • Update logical or physical data models to accommodate new use cases.
  • Apply reuse-first and AI-assisted practices to strengthen SDLC-quality routines for data pipelines.
  • Perform statistical data analysis to determine appropriate tools and data patterns.

What we're looking for

  • Formal training or certification on data engineering concepts.
  • 3+ years of applied experience and hands-on coding with Python.
  • Experience with data analytics and statistical data analysis.
  • Demonstrated experience using enterprise-authorized AI capabilities to support data engineering workflows.
  • Ability to review and validate AI-assisted outputs while following data handling requirements.
  • Advanced SQL skills and a working understanding of NoSQL databases.
  • Experience customizing tool changes to generate product outputs and interpreting data with Product Owners.
  • Hands-on experience with AWS (preferred).
  • Familiarity with modern front-end technologies (preferred).

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