Technology Lead Python Data Engineer Vice President

Citi

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Rutherford, NJ
Salary: $142,320–$213,480 / yr
Posted: 14 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $189k

This role $178k

$134k most similar roles pay here $224k

This role pays less than 54% of similar roles. Most pay $166,375–$211,200 — the shaded band above. At the midpoint, this role pays about $178k versus about $189k 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 256 open roles on FindRole.

Listed pay typically runs $140,080–$210,120 across 238 roles with salary data.

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At a glance

TL;DR · Technology Lead Python Data Engineer Vice President

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Technology Lead Python Data Engineer - Vice President The Technology Lead Python Data Engineer - Vice President joins the Credit Risk Technology team to build and evolve scalable platforms for credit risk management, assessment, and analytics. This leadership role involves designing microservices-based architectures, managing application development, and mentoring engineers while ensuring systems remain performant and compliant with enterprise standards. The daily work involves developing Python-based applications, integrating data workflows, and implementing AI and GenAI capabilities to automate analysis and modernize processes. Key technical requirements include advanced proficiency in Python and SQL, experience with FastAPI, Pydantic, or Django, and expertise in Docker and Kubernetes for containerized services. Candidates must also possess skills in Linux environments, shell scripting, and LLM integration. The role solves complex problems within the credit risk domain by balancing innovative experimentation with rigorous financial industry governance and safety requirements.

Skills

Python SQL FastAPI Pydantic Django Docker Kubernetes Microservices CI/CD Linux Shell Scripting TDD Spark PySpark Hadoop Hive Neo4j LLMs GenAI Prompt Engineering

What you'll do

Architect, design, and deliver scalable Python-based applications for credit risk analytics, workflows, and reporting.
Design and evolve microservices-based architectures to ensure system scalability, resiliency, and maintainability.
Integrate AI and GenAI capabilities to automate workflows and provide new insights in credit risk.
Establish and enforce engineering standards for coding, testing, CI/CD, and production readiness.
Serve as a technical leader by mentoring engineers and managing work distribution.
Ensure all technology solutions comply with enterprise architecture, data security, and regulatory requirements.
Resolve complex initiatives through deep analysis of business processes and system flows.

What we're looking for

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related STEM field.
6+ years of experience in application development or systems engineering within complex environments.
Advanced proficiency in Python and SQL with strong software engineering fundamentals.
Hands-on experience building API-driven services using FastAPI, Pydantic, and/or Django.
Proven expertise designing microservices architectures including service decomposition, resiliency patterns, and observability.
Strong experience with Docker and Kubernetes for deploying and operating containerized services in production.
Working knowledge of large language models (LLMs) and modern AI platforms from providers like OpenAI, Anthropic, Google, or Meta.
Experience implementing unit testing, TDD, and automated quality controls in Linux environments.

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