Lead Data Engineer: PySpark/AWS & AI Pipelines

JPMorganChase

Wilmington (DE)

On-site

USD 140,000 - 190,000

Full time

3 hours ago

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Job summary

JPMorganChase is seeking a Lead Data Engineer in Corporate Technology to drive data collection, storage, access, and analytics platforms. You will serve as a core technical contributor, maintaining critical data pipelines across multiple domains and ensuring secure, scalable delivery of data solutions.

The role emphasizes AI-assisted design, rigorous data validation, and collaboration with cross-functional teams to meet business objectives while maintaining compliance with data sensitivity and

Qualifications

Formal training or certification in data engineering concepts.
5+ years of applied data engineering experience.
Experience with Python, PySpark, Databricks, SQL, and AWS.
Ability to review and validate AI-assisted outputs and ensure data handling compliance.

Responsibilities

Delivers data collection, storage, access, and analytics platform solutions securely and scalably.
Uses AI capabilities within the work environment to accelerate data platform design and documentation.
Generates data models using firmwide approaches and statistical algorithms.
Implements database backup, recovery, and archiving strategies.
Evaluates access control processes to ensure data asset security.
Applies reuse-first, AI-assisted practices to ensure traceability and resiliency.

Skills

Python

PySpark

Databricks

SQL

AWS

AI automation

Education

Data engineering certification

Tools

Relational databases

NoSQL databases

Backup/recovery tooling

Job description

The role emphasizes AI-assisted design, rigorous data validation, and collaboration with cross-functional teams to meet business objectives while maintaining compliance with data sensitivity and

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