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Salary
≈ $22k – $53k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Middle · 5+ years exp

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Sep 30, 2026. JPMorganChase scores A on the Alion truth index.

Overview
Company
Impact
Profile match
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.

At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact.

As a Data Engineer II at JPMorgan Chase within the International Consumer Bank, you will be part of a team that plays a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals who are solution oriented, with a curious mindset, a passion for collaboration, and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific banking functions and products, providing opportunities to build data pipelines and reporting capabilities for functional areas such as finance and business management, treasury operations, financial crime prevention, regulatory reporting and analytics. We collaborate with product teams such as card payments, electronic payments, lending, customer onboarding, core banking, and insurance to understand their product data models and deliver tailored data solutions that meet business needs.

Job responsibilities

  • Deliver end-to-end data pipeline solutions on cloud infrastructure leveraging the latest technologies and best industry practices.
  • Use domain modeling techniques to build best-in-class business products.
  • Structure software for easy understanding, testing, and evolution.
  • Build solutions that avoid single points of failure using scalable architectural patterns.
  • Develop secure code to protect our customers and ourselves from malicious actors.
  • Promptly investigate and fix issues, ensuring they do not resurface.
  • Ensure releases happen with zero downtime for end-users.
  • Optimize data writing and reading for our needs.
  • Monitor performance, identifying and solving problems effectively and ensure systems are reliable and easy to operate.
  • Continuously update technologies and patterns.
  • Support products through their entire lifecycle, including production and incident management.

Required qualifications, capabilities and skills

  • Formal training or certification in Public Cloud engineering concepts and 5+ years of applied experience.
  • Excellent programming skills, ideally in Python or another modern programming language.
  • Understanding of Agile methodologies, Applicant Resiliency, and Security.
  • Experience with Public Cloud services in Production (AWS or other).
  • Hands-on experience with big data technologies (e.g. Redshift, EMR)
  • Comprehensive understanding of modern data platforms, including data governance and observability.
  • Self-starter capable of delivering production-ready solutions with minimal supervision.
  • Solid theoretical fundamentals in a wide range of topics, which could include database internals, distributed systems, and design patterns.

Preferred qualifications, capabilities and skills

  • Strong experience with EMR
  • Cloud Certifications including AWS Networking Specialty, AWS Developer Associate, AWS Solutions Architect Associate.
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