Senior Python Engineer - Applications Development Sr Programmer Analyst - C12 - RUTHERFORD

Citi

Remote

Quick summary

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

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $183k
This role $152k
$110k most similar roles pay here $229k

This role pays less than 70% of similar roles. Most pay $147,818–$217,725 — the shaded band above. At the midpoint, this role pays about $152k versus about $183k 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 370 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 346 roles with salary data.

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View all roles at Citi

At a glance

TL;DR · Senior Python Engineer - Applications Development Sr Programmer Analyst - C12 - RUTHERFORD

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The Principal Engineer role within the Retail and Wealth Risk Engineering team at Enterprise Risk Technology involves designing and maintaining scalable data pipelines using cutting-edge technologies. Day-to-day responsibilities include developing robust ELT/ETL processes with Python, PySpark, and Databricks to handle large datasets, deploying AI agents with Google ADK and Flash LLMs for automation, and integrating agentic AI tools like Devin.AI and GitHub Copilot through advanced prompt engineering. The candidate will also build data federation layers using Starburst and develop microservice integrations on Kubernetes architecture. Essential skills include extensive experience in Python and PySpark, proficiency in SQL, and a deep understanding of data warehousing concepts. Ideal candidates have a background in large-scale application development within the banking retail products domain, with hands-on experience in automating microservices and applying AI/ML techniques to solve real-world business problems.

Skills

Python PySpark Databricks Kubernetes CI/CD Devin.AI GitHub Copilot MCP Microservices FAST API Google ADK LLMs Starburst Angular React JS SQL PostgreSQL AWS Azure 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 Kubernetes.
  • Ensure data quality, integrity, and security throughout the entire data lifecycle.
  • Integrate agentic AI tools through advanced prompt engineering to enhance efficiency.

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 Google ADK, LLM integrations, Devin.AI or 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.
  • Hands-on experience with Databricks ecosystem, Kafka, and cloud-native infrastructure including OpenShift or Kubernetes.

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