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Software Engineer III - Backend Data Engineer

JPMorganChase • Commercial & Retail Banks • Wealth Management & Financial Advisors • Python • Java • 1 day ago
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Salary
≈ $109k – $218k per year (Estimated)
Location
In office (Plano)
Seniority
Middle

Confirmed on the employer's own hiring board on Oct 1, 2026. First seen by Alion on Sep 29, 2026. JPMorganChase scores A on the Alion truth index.

Overview
Company
Impact
Profile match

JPMorganChase

JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.
jpmorganchase.com • HQ: New York, United States • Wealth Management & Financial Advisors • Asset Management & Funds • Investment Banking & M&A Advisory • Commercial & Retail Banks • 5000+ employees • Est. 1871
Tech stack of JPMorganChase

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the Corporate Sector you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

  • Design, develop, and maintain full stack applications using Java or Python

  • Build scalable data solutions, including data pipelines and analytics capabilities, leveraging cloud technologies, Databricks, and Spark

  • Collaborate with cross-functional teams to develop reliable, high-performance software solutions.

  • Evaluate and adopt emerging technologies, including AI-assisted development tools and Agentic AI capabilities.

Required qualifications, capabilities, and skills

  • Experience in software engineering with Java or Python.

  • Hands-on experience with AWS or other cloud platforms.

  • Experience with Databricks, Apache Spark, and large-scale data processing.

  • Strong understanding of data engineering, analytics, and scalable application design.

  • Strong analytical and problem-solving skills.

  • Exposure to or interest in Agentic AI and modern AI-driven development practices.

Preferred qualifications, capabilities, and skills

  • Familiarity with modern front-end technologies
  • Exposure to cloud technologies
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