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Technology Lead Python Data Engineer - Vice President

Citi Rutherford, NJ

Rutherford, NJ

Today

$142k - $213k/yr Full time Backend Developer Manager Python

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Job Description

Citi is seeking a Technology Lead Python Data Engineer to help build modern, scalable, Python-based platforms for credit risk management. This onsite role in Rutherford, NJ combines hands-on engineering with architecture, technical leadership, and AI-enabled innovation. You will partner across risk, product, and technology to integrate platforms, improve workflows, and deliver enterprise-ready capabilities with strong governance and production rigor.

What you’ll do

Architect, design, and deliver scalable Python-based applications supporting credit risk analytics, workflows, and reporting.
Collaborate with risk, product, and technology leadership to integrate platforms, identify enhancements, and enable new products and process improvements.
Lead complex, high-impact initiatives by analyzing business processes, system flows, and industry standards.
Ensure solutions align with enterprise architecture, data, security, and infrastructure blueprints.
Set and enforce engineering standards across coding, testing, CI/CD, debugging, and production readiness.
Design and evolve microservices architectures with scalability, resiliency, observability, and maintainability.
Apply AI and GenAI capabilities to modernize workflows, automate analysis, and unlock new insights in credit risk.
Serve as a technical leader and mentor, coaching mid-level engineers and analysts and allocating work as needed.
Apply sound risk and control judgment to ensure compliance with laws, regulations, and policies while safeguarding clients, data, and the firm.

What you bring

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, including service decomposition, inter-service communication, resiliency patterns, and observability.
Experience with Docker and Kubernetes, deploying and operating containerized services in production.
Deep understanding of system architecture, data flows, and distributed systems.
Working experience in Linux, including shell scripting and operational troubleshooting.
Strong track record implementing unit testing, TDD, and automated quality controls.
Subject Matter Expert (SME) experience in at least one application, platform, or service domain.
Working knowledge of LLMs and modern AI platforms from OpenAI, Anthropic, Google, and Meta.
Experience designing or contributing to LLM-enabled solutions (for example, copilots, workflow automation, analytics augmentation).
Familiarity with prompt engineering, model integration patterns, and AI governance considerations in enterprise environments.
Exposure to modern AI-assisted “vibe coding” practices that accelerate development and experimentation while maintaining engineering rigor.

Bonus differentiators

Experience with distributed data and compute platforms such as Spark, PySpark, Hadoop, or Hive.
Hands-on experience with graph databases, especially Neo4j, for network, relationship, or dependency-driven use cases.
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.

Salary and details

Full time position. Primary location: Rutherford, New Jersey, United States (onsite). Target salary range: USD 142,320 - 213,480 per year. Anticipated posting close date: Sep 04, 2026.

Benefits

Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Planned time off (vacation)
Unplanned time off (sick leave)
Paid holidays
Discretionary and formulaic incentive and retention awards (for eligible employees)

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