Senior Lead AI/ML Data Engineer (Python, Spark)

JPMorgan Chase; Wilmington (DE); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase in Plano, TX is seeking a Senior Lead Software Engineer to drive AI/ML powered data pipelines and secure, scalable software solutions. You will lead an agile team delivering trusted technology products within Risk Technology and Consumer banking domains.

You will mentor technologists, design complex architectures, and work with AWS services and Databricks to deploy production-grade pipelines and models. Performance and security are key priorities.

Qualifications

• 5+ years of software engineering with leadership experience.
• Experience with modern programming languages and SQL.
• Experience with AI-assisted development tools and validation of outputs.
• Strong understanding of CI/CD, security, and resiliency.

Responsibilities

• Execute software solution design, development, and troubleshooting.
• Promote AI-assisted engineering practices across teams with measurable standards.
• Utilize SDLC tools to drive efficiency and automation across teams.
• Create secure, high-quality production code and maintain algorithms.
• Drive AI/ML delivery best practices alongside software engineering.
• Leverage SDLC tools to improve automation value.
• Define architecture for complex deliverables.
• Analyze large, diverse data sets for visualization and improvement.
• Identify hidden data patterns to improve coding hygiene and system design.

Skills

Python

PySpark

SQL

Machine Learning

CI/CD

Agile methodologies

Problem solving

Tools

Spark

AWS (EMR/EC2/S3)

Databricks

Airflow

Job description

JPMorgan Chase in Plano, TX is seeking a Senior Lead Software Engineer to drive AI/ML powered data pipelines and secure, scalable software solutions. You will lead an agile team delivering trusted technology products within Risk Technology and Consumer banking domains.

You will mentor technologists, design complex architectures, and work with AWS services and Databricks to deploy production-grade pipelines and models. Performance and security are key priorities.