Senior Data Engineer - Python, SQL & AI-Driven Pipelines

JPMorganChase; Plano (TX); On-site; USD 110,000 - 140,000; Full time

Job summary

JPMorganChase is seeking a Data Engineer III for its Consumer & Community Banking - Data Technology team in Plano, TX. You will design and deliver trusted data collection, storage, access, and analytics solutions in a secure, scalable way.

You will build, test, and maintain critical data pipelines across multiple business functions to support firm objectives. You will work in an agile environment with a focus on data quality, security, and resilience, and collaborate on AI-assisted data

Qualifications

• Formal training or certification on data engineering concepts and 3+ years applied experience.
• Solid working experience with Python and Databricks.
• Experience using enterprise AI capabilities and validating outputs with data sensitivity awareness.
• Advanced SQL and working understanding of NoSQL databases.
• Experience across the data lifecycle and statistical data analysis.

Responsibilities

• Supports review of controls to ensure protection of enterprise data.
• Uses AI capabilities in data pipeline design and documentation with validation.
• Advises and makes configuration changes to generate business products.
• Updates data models based on new use cases.
• Utilizes SQL and NoSQL databases; ensures data integrity and auditability.
• Contributes to a diverse and inclusive team culture.
• Applies SDLC best practices and AI-assisted routines for data pipelines.

Skills

Python

Databricks

SQL

NoSQL

AI capabilities

Data lifecycle

Statistical data analysis

Data engineering concepts

AWS certifications

AI/ML certifications

Education

Data engineering certification

Tools

AWS

Job description

JPMorganChase is seeking a Data Engineer III for its Consumer & Community Banking - Data Technology team in Plano, TX. You will design and deliver trusted data collection, storage, access, and analytics solutions in a secure, scalable way.

You will build, test, and maintain critical data pipelines across multiple business functions to support firm objectives. You will work in an agile environment with a focus on data quality, security, and resilience, and collaborate on AI-assisted data