Lead Data Engineer – Databricks, PySpark & AI

JPMorgan Chase & Co.

Fairfax (DE)

On-site

USD 180,000 - 230,000

Full time

8 days ago
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Job summary

JPMorganChase is seeking a Lead Software Engineer - Databricks/PySpark/AI to lead a senior, hands-on team within Corporate Sector-Global Finance. You will build, optimize, and deploy data products powering agentic AI systems, mentor junior engineers, and drive enterprise data accessibility and governance.

The role emphasizes AWS-based production delivery, CI/CD, and cross-functional collaboration. You will champion engineering excellence, design scalable data infrastructure, and integrate tools

Qualifications

  • 5+ years of professional software engineering experience.
  • Strong Python/PySpark production-grade coding skills.
  • Experience leading hands-on engineering teams in an agile environment.
  • Proven ability to build and optimize data pipelines for AI-enabled systems.

Responsibilities

  • Build and optimize data pipelines and workflows for agentic AI systems.
  • Promote AI-assisted engineering practices, code quality, and automated testing.
  • Develop data retrieval and indexing layers for cross-source AI access.
  • Create APIs and data services for AI agents to interact with enterprise data.
  • Mentor junior engineers and collaborate with product and data science teams.

Skills

Python
PySpark
Databricks
AWS
CI/CD
Leadership

Tools

Databricks
S3
Lambda
Glue
Snowflake
Terraform

Job description

JPMorganChase is seeking a Lead Software Engineer - Databricks/PySpark/AI to lead a senior, hands-on team within Corporate Sector-Global Finance. You will build, optimize, and deploy data products powering agentic AI systems, mentor junior engineers, and drive enterprise data accessibility and governance.

The role emphasizes AWS-based production delivery, CI/CD, and cross-functional collaboration. You will champion engineering excellence, design scalable data infrastructure, and integrate tools

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