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Technology Lead Python Data Engineer - Vice President

Mentions exposure to vibe coding—uses AI-assisted tooling and LLMs to accelerate development and experimentation while preserving engineering rigor.

About the Role

Citi is hiring a Technology Lead Python Data Engineer (Vice President) to design and deliver scalable, Python-based platforms for credit risk analytics and decisioning. The role blends hands-on development, microservices and cloud-native architecture, AI/GenAI integration, and technical leadership to ensure performant, compliant enterprise systems.

Job Description Role

The Technology Lead Python Data Engineer (Vice President) will lead the design and delivery of modern, scalable platforms that support credit risk analytics, workflows, and reporting. This senior engineering leadership role combines hands-on Python development, system architecture, microservices design, and AI/GenAI-enabled innovation within an enterprise banking environment.

Key Responsibilities

• Architect, design, and deliver scalable Python-based applications for credit risk analytics, workflows, and reporting.
• Design and evolve microservices-based architectures ensuring scalability, resiliency, observability, and maintainability.
• Build API-driven services and integrate platforms with risk, product, and technology teams.
• Establish and enforce engineering standards for coding, testing, CI/CD, debugging, and production readiness.
• Apply AI and GenAI capabilities (including LLMs) to modernize workflows, automate analysis, and augment analytics.
• Resolve high-impact, complex initiatives through analysis of business processes and system flows.
• Serve as technical leader and mentor to mid-level engineers and analysts; allocate and prioritize work.
• Ensure solutions adhere to enterprise architecture, data, security, and regulatory requirements; apply sound risk and control judgment.

Qualifications

• 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 and implementing microservices architectures, including inter‑service communication, resiliency patterns, and observability.
• Strong experience with Docker and Kubernetes; deploying and operating containerized services in production.
• Experience working in Linux environments, including shell scripting and operational troubleshooting.
• Strong track record implementing unit testing, test‑driven development (TDD), and automated quality controls.
• Subject matter expert (SME) in at least one application, platform, or service domain.
• Working knowledge of large language models (LLMs) and AI platforms (examples: OpenAI, Anthropic, Google, Meta) and experience contributing to LLM‑enabled solutions.
• Familiarity with prompt engineering, model integration patterns, and AI governance in enterprise settings.
• Exposure to modern “vibe coding” practices—leveraging AI‑assisted tooling to accelerate development while maintaining engineering rigor.

Preferred / Bonus Skills

• Experience with distributed data and compute platforms (Spark, PySpark, Hadoop, Hive).
• Hands‑on experience with graph databases, particularly Neo4j.
• Background in credit risk, financial risk management, or banking platforms.
• Experience modernizing or decomposing legacy monolithic systems in large enterprises.
• Proven delivery of GenAI/AI‑driven solutions in regulated or large‑scale environments.

Work Style

• Operate with a startup mindset: ownership, bias for action, and pragmatic innovation.
• Deliver with enterprise discipline: stability, controls, transparency, and audit readiness.
• Balance experimentation with responsibility in a high‑trust, high‑impact environment.
• Primary location: Rutherford, New Jersey, United States.
• Primary Location Full Time Salary Range: $142,320.00 - $213,480.00.

Notes

• Citi emphasizes compliance with laws, regulations, and internal policies and expects candidates to apply appropriate risk and control judgments.
• Role resides within Technology -> Applications Development and is full time.

Python SQL FastAPI Pydantic Django Docker Kubernetes Linux Shell scripting Spark PySpark Hadoop Hive Neo4j LLMs OpenAI Anthropic Google Meta GenAI

Skills

System Architecture Microservices Design API Design Technical Leadership Mentoring Problem Solving Compliance & Risk Management Observability & Monitoring Testing & QA Practices DevOps / Containerization practices Distributed Systems Stakeholder Collaboration AI/GenAI Integration Prompt Engineering Familiarity

Experience Level

Senior

USD 142,320 - 213,480/year

Employment Type

Full-time

• Medical insurance
• Dental insurance
• Disability insurance
• Wellness programs
• Sick leave
• Discretionary and formulaic incentive and retention awards