Senior Data Engineer: API-Driven Pipelines & AI Workflows

JPMorgan Chase & Co.

Plano (TX)

On-site

USD 110,000 - 150,000

Full time

11 days ago

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Job summary

JPMorganChase is seeking a Data Engineer III within the Consumer & Community Banking - Wealth Management team to design and deliver trusted data pipelines, storage, access, and analytics in a secure, scalable way.

You will develop, test, and maintain data architectures across multiple business functions, collaborating with product, design, and backend teams to translate requirements into reliable, performant solutions.

Qualifications

  • Formal training or certification on data engineering concepts and 3+ years applied experience.
  • UI development experience (production-grade interfaces).
  • Experience services development (APIs for UI).
  • Strong Java backend/service development (RESTful services).
  • Exposure to agentic capabilities / LLM-driven workflows.
  • Basic SQL knowledge for validation and troubleshooting.

Responsibilities

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

Skills

UI development
Experience services development
Java
Agentic capabilities / LLM-driven
Basic SQL knowledge
Agile environment

Education

Formal data engineering training/certification

Tools

Apache Spark
RESTful services

Job description

JPMorganChase is seeking a Data Engineer III within the Consumer & Community Banking - Wealth Management team to design and deliver trusted data pipelines, storage, access, and analytics in a secure, scalable way.

You will develop, test, and maintain data architectures across multiple business functions, collaborating with product, design, and backend teams to translate requirements into reliable, performant solutions.

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