Lead Software Engineer - SQL/Python & Databricks

JPMorgan Chase

Jersey City (NJ)

On-site

USD 130,000 - 180,000

Full time

6 days ago
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Job summary

JPMorgan Chase is seeking a Lead Software Engineer within the Credit Risk Technology organization. You will be a core technical contributor, building and delivering trusted technology products in a secure, scalable manner.

The role involves leading design assessments, modernizing the risk tech stack, and delivering high-quality production code in a large corporate environment. Collaboration across teams and vendors is essential.

Qualifications

  • 3+ years of applied software engineering experience.
  • Hands-on system design, development, testing, and operational stability.
  • Advanced proficiency in Java or Python.
  • Strong SQL knowledge (Oracle/Sybase/SQL Server).
  • Experience with Databricks and modern data platforms.
  • Understanding of the Software Development Life Cycle.

Responsibilities

  • Executes creative software solutions, design, development, and troubleshooting to solve complex problems.
  • Leads modernization and upgrade of the Credit Risk tech stack following industry best practices.
  • Develops secure, high-quality production code and reviews code from others.
  • Identifies opportunities to automate remediation and improve operational stability.
  • Leads evaluation sessions with vendors and internal teams on architectures.
  • Leads communities of practice to drive awareness and use of new technologies.
  • Contributes to a team culture of diversity, equity, inclusion, and respect.

Skills

Java
Python
SQL
Databricks
SDLC
System Design
Code Review

Education

Software engineering certification

Tools

Tableau
Business Objects
ThoughtSpot
Kafka
Scala
Apache Spark

Job description

JPMorgan Chase is seeking a Lead Software Engineer within the Credit Risk Technology organization. You will be a core technical contributor, building and delivering trusted technology products in a secure, scalable manner.

The role involves leading design assessments, modernizing the risk tech stack, and delivering high-quality production code in a large corporate environment. Collaboration across teams and vendors is essential.

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