Data Engineer III

JPMorgan Chase

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Plano, TX
Posted: 15 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $169k

$115k most similar roles pay here $222k

This listing doesn't post a salary. Most similar roles pay $126,800–$211,200.

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 Consumer & Community Banking - Data Technology team, you will serve as a seasoned member of an agile team focused on designing and delivering trusted data collection, storage, access, and analytics solutions. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas to support firm business objectives. Your daily work involves updating logical or physical data models based on new use cases and making custom configuration changes in tools to meet specific requests. You will utilize Python, advanced SQL, and NoSQL databases while integrating enterprise-authorized AI capabilities to accelerate pipeline design and documentation. The role requires expertise in the full data lifecycle, statistical data analysis, and implementing reuse-first practices to ensure traceability, auditability, and security for scalable data infrastructure.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

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Skills

Python SQL NoSQL Data Engineering AI SDLC Statistical Data Analysis Data Pipelines AWS

What you'll do

Design and deliver secure, stable, and scalable data collection, storage, and analytics solutions.
Develop, test, and maintain critical data pipelines and architectures across multiple business functions.
Use enterprise-authorized AI capabilities to accelerate data pipeline design, analysis, and documentation.
Update logical or physical data models based on new business use cases.
Perform advanced SQL queries and manage NoSQL database integrations.
Implement reuse-first, AI-assisted practices to improve SDLC quality, traceability, and auditability.
Configure tools to generate specific products based on business or customer requests.
Conduct statistical data analysis to determine appropriate tools and patterns for reporting.

What we're looking for

Formal training or certification on data engineering concepts.
3+ years of applied experience in data engineering.
Solid working experience with Python.
Experience across the full data lifecycle.
Advanced proficiency in SQL, including joins and aggregations.
Working understanding of NoSQL databases.
Significant experience with statistical data analysis and selecting appropriate tools/patterns.
Demonstrated ability to use enterprise-authorized AI capabilities while ensuring data security and validation.