Data Engineer III - UI/Java/React/Agentic AI

JPMorgan Chase & Co.

Plano (TX)

On-site

USD 110,000 - 150,000

Full time

14 days+
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Job summary

JPMorgan Chase & Co. is seeking a Data Engineer III within the Consumer & Community Banking - Wealth Management team.

You will join an agile squad to design, deliver, and maintain data pipelines and architectures across multiple areas, ensuring secure, scalable data collection and analytics capabilities. Responsibilities include building and refining UI components, experience services, and backend Java services, plus collaboration with product and design teams.

Qualifications

  • Formal training or certification in data engineering with 3+ years applied experience.
  • UI development for production-grade interfaces.
  • Experience services development for UI-backed APIs.
  • Strong Java backend experience with RESTful services.
  • Basic SQL knowledge for validation and troubleshooting.

Responsibilities

  • Design and develop responsive, user-friendly UI components and workflows.
  • Build and maintain experience services (API/service layer supporting front-end experiences), primarily using Java.
  • Implement agentic capabilities into applications and user journeys.
  • Collaborate with product, design, and backend teams to translate requirements into reliable, performant solutions.
  • Debug issues across UI and services; use basic SQL queries to validate data.
  • Ensure code quality through reviews, testing, documentation, and adherence to engineering standards.

Skills

UI development
Experience services development
Java backend
LLM workflows
Basic SQL
Agile teamwork

Education

Data engineering certification

Tools

Java
REST APIs
Apache Spark
CI/CD

Job description

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

As a Data Engineer III at JPMorganChase within the Consumer & Community Banking - Wealth Management team, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities
  • Design and develop responsive, user-friendly UI components and workflows.
  • Build and maintain experience services (API/service layer supporting front-end experiences), primarily using Java.
  • Implement and integrate agentic capabilities (e.g., workflow orchestration, tool/function calling patterns, guardrails, state management for agent flows) into applications and user journeys.
  • Collaborate with product, design, and backend teams to translate requirements into reliable, performant solutions.
  • Debug issues across UI and services; use basic SQL queries to validate data, investigate defects, and support root-cause analysis.
  • Ensure code quality through reviews, testing, documentation, and adherence to engineering standards.
Required qualifications, capabilities, and skills
  • Formal training or certification on data engineering concepts and 3+ years applied experience
  • UI development (building production-grade user interfaces)
  • Experience services development (building services/APIs supporting UI experiences)
  • Strong hands-on experience with Java for backend/service development (e.g., building RESTful services).
  • Exposure to agentic capabilities / LLM-driven workflows and integrating them into applications.
  • Basic SQL knowledge (writing simple queries for validation and troubleshooting).
  • Strong problem-solving skills, communication, and ability to work in an agile environment.
Preferred qualifications, capabilities, and skills
  • Machine Learning exposure (foundational understanding, model integration, or ML-enabled features).
  • Experience with Apache Spark (batch/stream processing, data pipelines, or large-scale data processing).
  • Experience with API design best practices, service reliability, observability, and performance optimization.
  • Familiarity with secure coding practices (authentication/authorization, data handling, input validation).
  • Experience with CI/CD and automated testing.
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