Senior Python Engineer, Applications Development

Citi

Remote

Quick summary

Work type
Remote
Location
Rutherford, NJ
Salary
$121,200–$181,800 / yr
Posted
4 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $186k
This role $152k
$109k most similar roles pay here $233k

This role pays less than 73% of similar roles. Most pay $151,500–$221,000 — the shaded band above. At the midpoint, this role pays about $152k versus about $186k for comparable roles.

Based on 240 similar postings.

Employer

About Citi

Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.

Citi currently has 329 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 308 roles with salary data.

Most-posted roles

View all roles at Citi

At a glance

TL;DR · Senior Python Engineer, Applications Development

Role Posting Log in to save

As a Principal Engineer in the Retail and Wealth Risk Engineering team under Enterprise Risk Technology, you will design and build scalable data pipelines using Python, PySpark, Databricks, and other cutting-edge technologies to support large-scale ELT/ETL processes. Your day-to-day responsibilities include developing AI agents with Google ADK and Flash LLMs, integrating agentic AI tools like Devin.AI and GitHub Copilot, and automating microservice integrations for data-intensive applications. You will also maintain data federation layers using Starburst and ensure data quality and security across the entire lifecycle. This role requires extensive experience in Python and PySpark engineering, proficiency with cloud-native infrastructure, and a deep understanding of data warehousing concepts within the banking retail products domain.

Skills

Python PySpark Databricks Kubernetes CI/CD Devin.AI GitHub Copilot MCP FAST API Microservices Google ADK LLMs Starburst SQL Angular React JS AWS Azure GCP Docker

What you'll do

  • Design and develop scalable data pipelines using Python, PySpark, and Databricks.
  • Build and deploy AI agents with Google ADK and Flash LLMs for application automation.
  • Maintain data federation layers for lambda and Data Mesh architectures using Starburst.
  • Automate microservice integrations to support data-intensive applications on cloud-native infrastructure.
  • Ensure data quality, integrity, and security throughout the entire data lifecycle.
  • Contribute to continuous improvement of data engineering processes and best practices.

What we're looking for

  • 8+ years of experience in large-scale application development with a focus on secure and scalable deployment.
  • Minimum 5 years of hands-on Python and PySpark engineering lead experience for high-volume ELT/ETL processes.
  • Proven expertise in agentic AI development using tools like Devin.AI, Github Copilot, and MCP platforms.
  • Strong proficiency in automating microservice integrations for data-intensive applications.
  • Deep understanding of data modeling, warehousing concepts, Data Mesh architecture, and data federation layers.
  • Excellent communication, collaboration, and problem-solving skills required.

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