Data Engineer III

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Plano, TX
Posted: 2 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $188k

$133k most similar roles pay here $243k

This listing doesn't post a salary. Most similar roles pay $143,998–$232,112.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Data Engineer III

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As a Data Engineer III within the Wealth Management team, you will join an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure and scalable manner. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across various business functions. Your daily work involves designing responsive UI components, building experience services using Java, and implementing agentic capabilities such as workflow orchestration and state management into user journeys. To succeed, you must possess skills in UI development, backend service construction, and basic SQL for data validation. You will also leverage knowledge of LLM-driven workflows and potentially utilize Apache Spark for large-scale processing. This role focuses on solving technical challenges related to reliable data infrastructure and integrating advanced agentic capabilities into the firm's core business applications.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

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Skills

Java SQL Apache Spark Machine Learning LLM UI Development Data Engineering CI/CD Agile Data Pipelines Workflow Orchestration

What you'll do

Design and develop responsive, user-friendly UI components and workflows.
Build and maintain experience services using Java to support front-end experiences.
Implement agentic capabilities including workflow orchestration and state management for agent flows.
Integrate LLM-driven workflows into applications and user journeys.
Develop, test, and maintain critical data pipelines and architectures across multiple business functions.
Use SQL queries to validate data, investigate defects, and perform root-cause analysis.
Ensure code quality through peer reviews, testing, documentation, and adherence to engineering standards.

What we're looking for

Formal training or certification in data engineering concepts.
3+ years of applied experience in data engineering.
Experience building production-grade user interfaces (UI development).
Experience developing service layers and APIs to support front-end experiences.
Strong hands-on experience with Java for backend and RESTful service development.
Exposure to agentic capabilities and LLM-driven workflows.
Basic SQL knowledge for data validation and troubleshooting.
Familiarity with Machine Learning, Apache Spark, and CI/CD practices.

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